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        <title>Journal of Medical Systems via MedWorm.com</title>
        <description>MedWorm.com provides a medical RSS filtering service. Over 6000 RSS medical sources are combined and output via different filters. This feed contains the latest items from the 'Journal of Medical Systems' source.</description>
        <link><![CDATA[http://www.medworm.com/rss/search.php?qu=Journal+of+Medical+Systems&t=Journal+of+Medical+Systems&s=Search&f=source]]></link>
        <lastBuildDate>Wed, 08 Feb 2012 18:41:25 +0100</lastBuildDate>
        <item>
            <title>Design of a Fuzzy-based Decision Support System for Coronary Heart Disease Diagnosis</title>
            <link>http://www.medworm.com/index.php?rid=5620992&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm7w6r143l278n7j4%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In the present paper, a fuzzy rule-based system (FRBS) is designed to serve as a decision support system for Coronary heart
 disease (CHD) diagnosis that not only considers the decision accuracy of the rules but also their transparency at the same
 time. To achieve the two above mentioned objectives, we apply a multi-objective genetic algorithm to optimize both the accuracy
 and transparency of the FRBS. In addition and to help assess the certainty and the importance of each rule by the physician,
 an extended format of fuzzy rules that incorporates the degree of decision certainty and importance or support of each rule
 at the consequent part of the rules is introduced. Furthermore, a new way for employing Ensemble Classifiers Strategy (ECS)
 method is proposed to enha...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5620992</comments>
            <pubDate>Wed, 18 Jan 2012 06:49:41 +0100</pubDate>
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        <item>
            <title>Erratum to: A Study of Heating Duration and Scanning Path in Focused Ultrasound Surgery</title>
            <link>http://www.medworm.com/index.php?rid=5572866&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fq8763t6172303304%2F</link>
            <description>Content Type Journal ArticleCategory ErratumPages 1-1DOI 10.1007/s10916-011-9820-0Authors
		Dehui Li, Biomedical Instrument Institute, Shanghai Jiao Tong University, Shanghai, 200030 ChinaGuofeng Shen, Biomedical Instrument Institute, Shanghai Jiao Tong University, Shanghai, 200030 ChinaHui Luo, Biomedical Instrument Institute, Shanghai Jiao Tong University, Shanghai, 200030 ChinaJingfeng Bai, Biomedical Instrument Institute, Shanghai Jiao Tong University, Shanghai, 200030 ChinaYazhu Chen, Biomedical Instrument Institute, Shanghai Jiao Tong University, Shanghai, 200030 China
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5572866</comments>
            <pubDate>Fri, 06 Jan 2012 16:49:20 +0100</pubDate>
            <guid isPermaLink="false">5572866</guid>        </item>
        <item>
            <title>EMR Management System for Patient Pulse Data</title>
            <link>http://www.medworm.com/index.php?rid=5572867&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F60663733636w45h1%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The purpose of this study is to build an integrated medical information system for effective database management of clinical
 information and to improve the existing Electronic Medical Record (EMR)-based system that is currently being used in hospitals.
 The integrated medical information system of hospitals consists of an Order Communication System (OCS), Picture Archiving
 Communication System (PACS), and Laboratory Information System (LIS), as well as Electronic Medical Record (EMR). It is designed
 so that remote health screening and patient data search can be accessed through a high speed network—even in remote areas—in
 order to effectively manage data on medical treatment that patients received at their respective hospitals. The existing oriental
 treatment s...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5572867</comments>
            <pubDate>Thu, 05 Jan 2012 17:07:54 +0100</pubDate>
            <guid isPermaLink="false">5572867</guid>        </item>
        <item>
            <title>Study of the Cost-Benefit Analysis of Electronic Medical Record Systems in General Hospital in China</title>
            <link>http://www.medworm.com/index.php?rid=5572868&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F4165h2v44771h527%2F</link>
            <description>We presented a net financial cost-benefit analysis of implementing electronic medical record systems in general
 hospital in China. The data, which were obtained from studies of the general hospital and the published literature, collected
 from 15 consecutive fiscal months from May 1, 2009 to August 30, 2010. We performed a perspective cost-benefit study to analyze
 the financial effects of EMR system implementing. The reference strategy for comparisons was the traditional paper-based medical
 record. The net financial benefits or costs for a 6-year period were calculated. All data were adjusted for inflation. The
 totally assessed net benefit from implementing an EMR system for a 6-year period was $559,025 in the general hospital. Benefits
 accrue primarily from savings in new medical rec...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5572868</comments>
            <pubDate>Tue, 03 Jan 2012 06:44:45 +0100</pubDate>
            <guid isPermaLink="false">5572868</guid>        </item>
        <item>
            <title>Emergency Healthcare Process Automation Using Mobile Computing and Cloud Services</title>
            <link>http://www.medworm.com/index.php?rid=5561489&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fx4t757312610v046%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Emergency care is basically concerned with the provision of pre-hospital and in-hospital medical and/or paramedical services
 and it typically involves a wide variety of interdependent and distributed activities that can be interconnected to form emergency
 care processes within and between Emergency Medical Service (EMS) agencies and hospitals. Hence, in developing an information
 system for emergency care processes, it is essential to support individual process activities and to satisfy collaboration
 and coordination needs by providing readily access to patient and operational information regardless of location and time.
 Filling this information gap by enabling the provision of the right information, to the right people, at the right time fosters
 new challenges, in...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5561489</comments>
            <pubDate>Thu, 29 Dec 2011 06:43:50 +0100</pubDate>
            <guid isPermaLink="false">5561489</guid>        </item>
        <item>
            <title>Analysis of the EHR Systems in Spanish Primary Public Health System: The Lack of Interoperability</title>
            <link>http://www.medworm.com/index.php?rid=5545309&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F10l823v640671259%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper presents the impact of the Electronic Health Records (EHRs) systems jointly in the Spanish Primary Public Health
 System. Different EHRs that exist in each of the Spanish regions are discussed. Moreover, other purpose of this analysis is
 to identify the current state of knowledge about health information systems adoption in primary care in Spain. For the analysis
 and study of EHRs systems in Spain we have relied on the use of different sources, mostly items related to the study of EHRs
 systems in different areas. We will analyze some technical aspects of these and some of their major implications, both positive
 and negative. Moreover, we have resorted to make direct contact with the organizations that have implemented the EHRs systems.
 The result of this...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5545309</comments>
            <pubDate>Sat, 24 Dec 2011 06:41:41 +0100</pubDate>
            <guid isPermaLink="false">5545309</guid>        </item>
        <item>
            <title>Operational Problems of Haniwa Net as a Form of Social Capital: Interdependence Between Human Networks of Physicians and Information Networks</title>
            <link>http://www.medworm.com/index.php?rid=5545311&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fn468833j20nw3281%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In August 2009, Miyazaki Health and Welfare Network (Haniwa Net, hereafter referred to as “the Net”), centrally led by University
 of Miyazaki Hospital (UMH), adopted a center hospital-based system offering a unilateral linkage that enables the viewing
 of UMH’s medical records through a web-based browser (electronic medical records (EMR)). By the end of December 2010, the
 network had developed into a system of 79 collaborating physicians from within the prefecture. Beginning in August 2010, physicians
 in 12 medical institutions were visited and asked to speak freely on the operational issues concerning the Net. Recordings
 and written accounts were coded using the text analysis software MAXQDA 10 to understand the actual state of operations. Analysis
 of calcul...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5545311</comments>
            <pubDate>Fri, 23 Dec 2011 16:55:32 +0100</pubDate>
            <guid isPermaLink="false">5545311</guid>        </item>
        <item>
            <title>Design of an Enhanced Fuzzy k-nearest Neighbor Classifier Based Computer Aided Diagnostic System for Thyroid Disease</title>
            <link>http://www.medworm.com/index.php?rid=5545310&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F741l7w2w35035083%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, we present an enhanced fuzzy k-nearest neighbor (FKNN) classifier based computer aided diagnostic (CAD) system for thyroid disease. The neighborhood size
 k and the fuzzy strength parameter m in FKNN classifier are adaptively specified by the particle swarm optimization (PSO) approach. The adaptive control parameters
 including time-varying acceleration coefficients (TVAC) and time-varying inertia weight (TVIW) are employed to efficiently
 control the local and global search ability of PSO algorithm. In addition, we have validated the effectiveness of the principle
 component analysis (PCA) in constructing a more discriminative subspace for classification. The effectiveness of the resultant
 CAD system, termed as PCA-PSO-FKNN, has been rigorously evaluate...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5545310</comments>
            <pubDate>Fri, 23 Dec 2011 16:55:32 +0100</pubDate>
            <guid isPermaLink="false">5545310</guid>        </item>
        <item>
            <title>An Improved Decision Support System for Detection of Lesions in Mammograms Using Differential Evolution Optimized Wavelet Neural Network</title>
            <link>http://www.medworm.com/index.php?rid=5516118&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fh3111750v3225631%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, a computerized scheme for automatic detection of cancerous lesion in mammograms is examined. Breast lesions
 in mammograms are an area with an abnormality or alteration in the breast tissues. Diagnosis of these lesions at the early
 stage is a very difficult task as the cancerous lesions are embedded in normal breast tissue structures. This paper proposes
 a supervised machine learning algorithm – Differential Evolution Optimized Wavelet Neural Network (DEOWNN) for detection of
 tumor masses in mammograms. Differential Evolution (DE) is a population based optimization algorithm based on the principle
 of natural evolution, which optimizes real parameters and real valued functions. By utilizing the DE algorithm, the parameters
 of the Wavelet Neural Netw...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5516118</comments>
            <pubDate>Thu, 15 Dec 2011 16:51:01 +0100</pubDate>
            <guid isPermaLink="false">5516118</guid>        </item>
        <item>
            <title>Down Syndrome Diagnosis Based on Gabor Wavelet Transform</title>
            <link>http://www.medworm.com/index.php?rid=5469972&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F4740j7628552u177%2F</link>
            <description>In this study, a novel method is developed
 to distinguish Down Syndrome in a custom face database. Gabor Wavelet Transform (GWT) is used as a feature extraction method.
 Dimension reduction is performed with Principal Component Analysis (PCA). New dimension which has most valuable information
 is derived with Linear Discriminant Analysis (LDA). Classification process is implemented with k-nearest neighbor (kNN) and
 Support Vector Machine (SVM) methods. The classification accuracy is carried out 96% and 97,34% with kNN and SVM methods,
 respectively. Different from the studies related with the Down Sydrome, feature selection process is applied before PCA according
 to the correlation between components of feature vectors. Best results are achieved with euclidean distance metric for kNN
 a...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5469972</comments>
            <pubDate>Wed, 30 Nov 2011 04:55:25 +0100</pubDate>
            <guid isPermaLink="false">5469972</guid>        </item>
        <item>
            <title>How are Health Professionals Using Health Information Exchange Systems? Measuring Usage for Evaluation and System Improvement</title>
            <link>http://www.medworm.com/index.php?rid=5469974&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F3u55814563457800%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Health information exchange (HIE) is an avenue to improving patient care and an important priority under the Meaningful Use
 requirements. However, we know very little about the usage of HIE systems. Understanding how healthcare professionals actually
 utilize HIE systems will provide practical insights to system evaluation, help guide system improvement, and help organizations
 assess performance. We developed a novel way of describing professionals’ HIE usage from the log files of an operational HIE-facilitating
 organization. The system employed a webpage-style interface. The screen number, types, and variation served to cluster all
 sessions in to five categories of HIE usage: minimal usage, repetitive searching, clinical information, mixed information, and demogr...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5469974</comments>
            <pubDate>Wed, 30 Nov 2011 04:55:24 +0100</pubDate>
            <guid isPermaLink="false">5469974</guid>        </item>
        <item>
            <title>Stream Processing Health Card Application</title>
            <link>http://www.medworm.com/index.php?rid=5469973&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fbmh8756158077513%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, we propose a data stream management system embedded to a smart card for handling and storing user specific
 summaries of streaming data coming from medical sensor measurements and/or other medical measurements. The data stream management
 system that we propose for a health card can handle the stream data rates of commonly known medical devices and sensors. It
 incorporates a type of context awareness feature that acts according to user specific information. The proposed system is
 cheap and provides security for private data by enhancing the capabilities of smart health cards. The stream data management
 system is tested on a real smart card using both synthetic and real data.
 
 
	Content Type Journal ArticleCategory ORIGINAL PAPERPages 1-8DOI 10.1007/s...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5469973</comments>
            <pubDate>Wed, 30 Nov 2011 04:55:24 +0100</pubDate>
            <guid isPermaLink="false">5469973</guid>        </item>
        <item>
            <title>A Hybrid Automatic System for the Diagnosis of Lung Cancer Based on Genetic Algorithm and Fuzzy Extreme Learning Machines</title>
            <link>http://www.medworm.com/index.php?rid=5450143&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fj1n8474204h1q252%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;An automatic system for the diagnosis of lung cancer has been proposed in this manuscript. The proposed method is based on
 combination of genetic algorithm (GA) for the feature selection and newly proposed approach, namely the extreme learning machines
 (ELM) for the classification of lung cancer data. The dimension of the feature space is reduced by the GA in this scheme and
 the effective features are selected in this way. The data are then fed to a fuzzy inference system (FIS) which is trained
 by the fuzzy extreme learning machines approach. The results on real data indicate that the proposed system is very effective
 in the diagnosis of lung cancer and can be used for clinical applications.
 
 
	Content Type Journal ArticleCategory ORIGINAL PAPERPages 1-5DOI 10.10...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5450143</comments>
            <pubDate>Wed, 23 Nov 2011 17:43:57 +0100</pubDate>
            <guid isPermaLink="false">5450143</guid>        </item>
        <item>
            <title>E-Health: A Global Approach with Extensive Semantic Variation</title>
            <link>http://www.medworm.com/index.php?rid=5450144&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F2417t8w54rm611g8%2F</link>
            <description>This study reviews the E-Health status in different countries based on existing reports and
 documents about E-health projects in developed and developing countries and also based on the reports and documents provided
 by WHO, International Telecommunication Union (ITU); and World Bank. The review of the documents showed that the E-Health
 status in different countries is depended upon three key factors including the potential of ICT, economic capacity and the
 level of health status. The review of the documents indicated that there might be different meanings for the concept of E-Health
 in different countries, and the semantic variation in E-Health concept is related to the level of E-Health developments and
 implementations. Therefore, developing a clear definition of E-Health is needed...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5450144</comments>
            <pubDate>Wed, 23 Nov 2011 17:43:55 +0100</pubDate>
            <guid isPermaLink="false">5450144</guid>        </item>
        <item>
            <title>Developing an Active Emergency Medical Service System Based on WiMAX Technology</title>
            <link>http://www.medworm.com/index.php?rid=5450145&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fb2112u8752n11410%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The population structure has changed with the aging of population. In the present, elders account for 10.63% of the domestic
 population and the percentage is still gradually climbing. In other words, the demand for emergency services among elders
 in home environment is expected to grow in the future. In order to improve the efficiency and quality of emergency care, information
 technology should be effectively utilized to integrate medical systems and facilities, strengthen human-centered operation
 designs, and maximize the overall performance. The improvement in the quality and survival rate of emergency care is an important
 basis for better life and health of all people. Through integrated application of medical information systems and information
 communication t...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5450145</comments>
            <pubDate>Tue, 22 Nov 2011 17:57:39 +0100</pubDate>
            <guid isPermaLink="false">5450145</guid>        </item>
        <item>
            <title>Guest Editorial for the Special Issue on RFID-enabled Healthcare: Applications, Issues and Benefits</title>
            <link>http://www.medworm.com/index.php?rid=5450147&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F2r6378431r361326%2F</link>
            <description>Content Type Journal ArticleCategory EditorialPages 1-4DOI 10.1007/s10916-011-9808-9Authors
		Samuel Fosso Wamba, School of Information Systems &amp; Technology, University of Wollongong, Wollongong, NSW 2522, Australia
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5450147</comments>
            <pubDate>Tue, 22 Nov 2011 17:57:38 +0100</pubDate>
            <guid isPermaLink="false">5450147</guid>        </item>
        <item>
            <title>RFID-Enabled Healthcare Applications, Issues and Benefits: An Archival Analysis (1997–2011)</title>
            <link>http://www.medworm.com/index.php?rid=5450146&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fjj3417053653x03u%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, a comprehensive review of articles published between 1997 and 2011 in the Journal of Medical Systems (JMS)
 on RFID technology is presented. A total of 22 papers are analyzed using a classification framework that has three dimensions:
 RFID-enabled healthcare applications, RFID-enabled healthcare issues, and RFID-enabled healthcare benefits. In addition, an
 invitation sent to all authors of the papers accepted for the special issue on RFID for the JMS allows them to position their
 various papers within the classification framework. Finally, a list of future research directions is presented.
 
 
	Content Type Journal ArticleCategory ORIGINAL PAPERPages 1-6DOI 10.1007/s10916-011-9807-xAuthors
		Samuel Fosso Wamba, University of Wollongong, Wollongong, Aus...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5450146</comments>
            <pubDate>Tue, 22 Nov 2011 17:57:38 +0100</pubDate>
            <guid isPermaLink="false">5450146</guid>        </item>
        <item>
            <title>RFID-Enabled Traceability System for Consignment and High Value Products: A Case Study in the Healthcare Sector</title>
            <link>http://www.medworm.com/index.php?rid=5442549&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F67113463w4550582%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper presents a case study of a hospital operating room that evaluated a Radio-Frequency Identification (RFID)-enabled
 traceability system for the management of consignment and high value products requiring item level traceability. Results indicate
 that the traceability system in conjunction with the redesign of replenishment processes facilitates item level traceability,
 improves financial controls and case costing, upgrades service levels and reduces inventory shrinkage. Other benefits include
 time saved from non-value-added activities that can be transferred to patient care activities. The solution can be considered
 (i) as an alternative to RFID-enabled cabinets used in the replenishment of consignment and high value supplies in certain
 operating rooms, c...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5442549</comments>
            <pubDate>Mon, 21 Nov 2011 18:10:07 +0100</pubDate>
            <guid isPermaLink="false">5442549</guid>        </item>
        <item>
            <title>Automated Detection of Dark and Bright Lesions in Retinal Images for Early Detection of Diabetic Retinopathy</title>
            <link>http://www.medworm.com/index.php?rid=5423321&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F2386q06432438505%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;There is an ever-increasing interest in the development of automatic medical diagnosis systems due to the advancement in computing
 technology and also to improve the service by medical community. The knowledge about health and disease is required for reliable
 and accurate medical diagnosis. Diabetic Retinopathy (DR) is one of the most common causes of blindness and it can be prevented
 if detected and treated early. DR has different signs and the most distinctive are microaneurysm and haemorrhage which are
 dark lesions and hard exudates and cotton wool spots which are bright lesions. Location and structure of blood vessels and
 optic disk play important role in accurate detection and classification of dark and bright lesions for early detection of
 DR. In this articl...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5423321</comments>
            <pubDate>Wed, 16 Nov 2011 16:47:34 +0100</pubDate>
            <guid isPermaLink="false">5423321</guid>        </item>
        <item>
            <title>Integrating Hospital Information Systems in Healthcare Institutions: A Mediation Architecture</title>
            <link>http://www.medworm.com/index.php?rid=5423322&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F6u656p8300647133%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Many studies have examined the integration of information systems into healthcare institutions, leading to several standards
 in the healthcare domain (CORBAmed: Common Object Request Broker Architecture in Medicine; HL7: Health Level Seven International;
 DICOM: Digital Imaging and Communications in Medicine; and IHE: Integrating the Healthcare Enterprise). Due to the existence
 of a wide diversity of heterogeneous systems, three essential factors are necessary to fully integrate a system: data, functions
 and workflow. However, most of the previous studies have dealt with only one or two of these factors and this makes the system
 integration unsatisfactory. In this paper, we propose a flexible, scalable architecture for Hospital Information Systems (HIS).
 Our main p...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5423322</comments>
            <pubDate>Tue, 15 Nov 2011 16:47:26 +0100</pubDate>
            <guid isPermaLink="false">5423322</guid>        </item>
        <item>
            <title>RFID Sensor-Tags Feeding a Context-Aware Rule-Based Healthcare Monitoring System</title>
            <link>http://www.medworm.com/index.php?rid=5409824&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Frt247755t686027h%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Along with the growing of the aging population and the necessity of efficient wellness systems, there is a mounting demand
 for new technological solutions able to support remote and proactive healthcare. An answer to this need could be provided
 by the joint use of the emerging Radio Frequency Identification (RFID) technologies and advanced software choices. This paper
 presents a proposal for a context-aware infrastructure for ubiquitous and pervasive monitoring of heterogeneous healthcare-related
 scenarios, fed by RFID-based wireless sensors nodes. The software framework is based on a general purpose architecture exploiting
 three key implementation choices: ontology representation, multi-agent paradigm and rule-based logic. From the hardware point
 of view, the sen...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5409824</comments>
            <pubDate>Mon, 14 Nov 2011 16:52:10 +0100</pubDate>
            <guid isPermaLink="false">5409824</guid>        </item>
        <item>
            <title>Implement the RFID Position Based System of Automatic Tablets Packaging Machine for Patient Safety</title>
            <link>http://www.medworm.com/index.php?rid=5409825&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F8737gw745m412171%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Patient safety has been regarded as the most important quality policy of hospital management. The medicine dispensing definitely
 plays an influential role in the Joint Commission International Accreditation Standards. The problem we are going to discuss
 in this paper is that the function of detecting mistakes does not exist in the Automatic Tablets packaging machine (ATPM)
 in the hospital pharmacy department when the pharmacists implement the replenishment of cassettes. In this situation, there
 are higher possibilities of placing the wrong cassettes back to the wrong positions, so that the human errors will lead to
 a crucial impact on total inpatients undoubtedly. Therefore, this study aims to design the RFID (Radio frequency identification)
 position based system ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5409825</comments>
            <pubDate>Mon, 14 Nov 2011 16:52:09 +0100</pubDate>
            <guid isPermaLink="false">5409825</guid>        </item>
        <item>
            <title>Applied Patent RFID Systems for Building Reacting HEPA Air Ventilation System in Hospital Operation Rooms</title>
            <link>http://www.medworm.com/index.php?rid=5409826&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fh1724t26277t46xh%2F</link>
            <description>This study aims to apply the RFID technology to offer a unique medical
 staff and patient identification, and reacting HEPA air ventilation system in order to reduce the cost, save energy and prevent
 the prevalence of hospital-acquired infection. The system, reacting HEPA air ventilation system, contains RFID tags (for medical
 staffs and patients), sensor, and reacting system which receives the information regarding the number of medical staff and
 the status of the surgery, and controls the air volume of the HEPA air ventilation system accordingly. A pilot program was
 carried out in a unit of operation rooms of a medical center with 1,500 beds located in central Taiwan from Jan to Aug 2010.
 The results found the air ventilation system was able to function much more efficiently with le...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5409826</comments>
            <pubDate>Fri, 11 Nov 2011 12:49:30 +0100</pubDate>
            <guid isPermaLink="false">5409826</guid>        </item>
        <item>
            <title>Automated Classification of Liver Disorders using Ultrasound Images</title>
            <link>http://www.medworm.com/index.php?rid=5409828&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fg71093t6208r8366%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper presents a novel approach for detection of Fatty liver disease (FLD) and Heterogeneous liver using textural analysis
 of liver ultrasound images. The proposed system is able to automatically assign a representative region of interest (ROI)
 in a liver ultrasound which is subsequently used for diagnosis. This ROI is analyzed using Wavelet Packet Transform (WPT)
 and a number of statistical features are obtained. A multi-class linear support vector machine (SVM) is then used for classification.
 The proposed system gives an overall accuracy of ~95% which clearly illustrates the efficacy of the system.
 
 
	Content Type Journal ArticleCategory Original PaperPages 1-10DOI 10.1007/s10916-011-9803-1Authors
		Fayyaz ul Amir Afsar Minhas, Department of Computer Scien...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5409828</comments>
            <pubDate>Wed, 09 Nov 2011 17:45:39 +0100</pubDate>
            <guid isPermaLink="false">5409828</guid>        </item>
        <item>
            <title>Use and Satisfaction with Electronic Health Record by Primary Care Physicians in a Health District in Brazil</title>
            <link>http://www.medworm.com/index.php?rid=5409827&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fq7u455104745hu00%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;It is believed that Electronic Health Records (EHR) improve not only quality of care but also patient safety and health care
 savings. This seems to be true for developed countries but not necessarily in emerging economies. This paper examined the
 primary care physicians’ satisfaction with a specific EHR in a health district of a major city in Brazil and describes how
 they are using it as well as its specific functions. A cross-sectional questionnaire survey with all physicians from all Community
 Health Centers of the 6th health district of the City of Fortaleza that were using HER was conducted. From the 111 subjects
 (100%), a total of 99 physicians answered the survey (89% response rate). For overall satisfaction with the EHR, 2 (2%) were
 satisfied, 50 (50.5%) ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5409827</comments>
            <pubDate>Wed, 09 Nov 2011 17:45:39 +0100</pubDate>
            <guid isPermaLink="false">5409827</guid>        </item>
        <item>
            <title>A Simulation Study to Improve Performance in the Preparation and Delivery of Antineoplastic Medications at a Community Hospital</title>
            <link>http://www.medworm.com/index.php?rid=5409830&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp4x263h61w732uv7%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, we introduce a simulation study to improve the antineoplastic medication preparation and delivery performance
 at a pharmacy department in a large community hospital. The goal of this work is to help pharmacy reduce patients’ average
 waiting time when receiving chemotherapy. This will be achieved by simulating and analyzing the preparation and delivery procedures
 to identify process bottlenecks, carry out what-if analysis, predict the impact of improvement effort, and provide recommendations
 to hospital leadership. Using the simulation model, we discover that by introducing early preparation for the returning patients
 and dedicating an infusion staff member for medication delivery, patients’ waiting time for antineoplastic medications can
 be redu...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5409830</comments>
            <pubDate>Wed, 09 Nov 2011 17:45:37 +0100</pubDate>
            <guid isPermaLink="false">5409830</guid>        </item>
        <item>
            <title>Deployment of RFID in Healthcare Facilities—Experimental Design in MRI Department</title>
            <link>http://www.medworm.com/index.php?rid=5409829&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fy63306831n24932j%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Patient safety has become an important issue due to medical errors. Some health care systems use Radio Frequency Identification
 (RFID) to identify patients during medical procedures. However, the RFID data readability especially depends upon the environment,
 an investigation of data reliability and signal loss is essential to making an effective deployment plan. The operation of
 Magnetic Resonance Imaging (MRI) is the major source of electromagnetic interference in the hospital. Therefore, this research
 conducts an experimental design of reading performance considering various notable factors in the MRI department. In addition
 to the readability experiment, this paper also measures the efficiency and reliability of implementing RFID technology in
 the MRI departmen...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5409829</comments>
            <pubDate>Wed, 09 Nov 2011 17:45:37 +0100</pubDate>
            <guid isPermaLink="false">5409829</guid>        </item>
        <item>
            <title>Smartphone App Use Among Medical Providers in ACGME Training Programs</title>
            <link>http://www.medworm.com/index.php?rid=5389109&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp6t82ph541835u75%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The past decade has witnessed the advent of the smartphone, a device armed with computing power, mobility and downloadable
 “apps,” that has become commonplace within the medical field as both a personal and professional tool. The popularity of medically-related
 apps suggests that physicians use mobile technology to assist with clinical decision making, yet usage patterns have never
 been quantified. A digital survey examining smartphone and associated app usage was administered via email to all ACGME training
 programs. Data regarding respondent specialty, level of training, use of smartphones, use of smartphone apps, desired apps,
 and commonly used apps were collected and analyzed. Greater than 85% of respondents used a smartphone, of which the iPhone
 was the m...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5389109</comments>
            <pubDate>Thu, 03 Nov 2011 16:57:14 +0100</pubDate>
            <guid isPermaLink="false">5389109</guid>        </item>
        <item>
            <title>Dual Function Seal: Visualized Digital Signature for Electronic Medical Record Systems</title>
            <link>http://www.medworm.com/index.php?rid=5389110&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F431u5p5v24257861%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Digital signature is an important cryptography technology to be used to provide integrity and non-repudiation in electronic
 medical record systems (EMRS) and it is required by law. However, digital signatures normally appear in forms unrecognizable
 to medical staff, this may reduce the trust from medical staff that is used to the handwritten signatures or seals. Therefore,
 in this paper we propose a dual function seal to extend user trust from a traditional seal to a digital signature. The proposed
 dual function seal is a prototype that combines the traditional seal and digital seal. With this prototype, medical personnel
 are not just can put a seal on paper but also generate a visualized digital signature for electronic medical records. Medical
 Personnel can then...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5389110</comments>
            <pubDate>Wed, 02 Nov 2011 16:59:11 +0100</pubDate>
            <guid isPermaLink="false">5389110</guid>        </item>
        <item>
            <title>A Secure Integrated Medical Information System</title>
            <link>http://www.medworm.com/index.php?rid=5389112&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fj56071764k38m4qq%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The rapid rise and development of the internet has made digitization of our everyday life common. E-medicine, including electronic
 prescription records, electronic prescriptions, diagnosis information systems, and others are now being regarded as future
 trends. As development on the structure and format of electronic patient records and prescriptions matures, the implementation
 of a comprehensive medical information system is imperative, one which is constructed from integrating the various electronic
 information systems that is being developed. It is important to allow the implementation of such a system applicable to the
 present medical environment, which facilitates the integration of electronic patient record from all levels of medical centers
 and clinics, sec...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5389112</comments>
            <pubDate>Wed, 02 Nov 2011 16:59:10 +0100</pubDate>
            <guid isPermaLink="false">5389112</guid>        </item>
        <item>
            <title>Enhanced UHF RFID Tags for Drug Tracing</title>
            <link>http://www.medworm.com/index.php?rid=5389111&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fb737721x77pq1g21%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Radio Frequency Identification (RFID) technology is playing a crucial role for item-level tracing systems in healthcare scenarios.
 The pharmaceutical supply chain is a fascinating application context, where RFID can guarantee transparency in the drug flow,
 supporting both suppliers and consumers against the growing counterfeiting problem. In such a context, the choice of the most
 adequate RFID tag, in terms of shape, frequency, size and reading range, is crucial. The potential presence of items containing
 materials hostile to the electromagnetic propagation exasperates the problem. In addition, the peculiarities of the different
 RFID-based checkpoints make even more stringent the requirements for the tag. In this work, the performance of several commercial
 UHF RFI...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5389111</comments>
            <pubDate>Wed, 02 Nov 2011 16:59:10 +0100</pubDate>
            <guid isPermaLink="false">5389111</guid>        </item>
        <item>
            <title>Security Risks Associated with Radio Frequency Identification in Medical Environments</title>
            <link>http://www.medworm.com/index.php?rid=5389113&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fa385j25853734423%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Radio frequency identification (RFID) is a form of wireless communication that is used to identify assets and people. RFID
 has significant benefits to the medical environment. However, serious security threats are present in RFID systems that must
 be addressed in a medical environment. Of particular interest are threats to patient privacy and safety based on interception
 of messages, interruption of communication, modification of data, and fabrication of messages and devices. This paper presents
 an overview of these security threats present in RFID systems in a medical environment and provides guidance on potential
 solutions to these threats. This paper provides a roadmap for researchers and implementers to address the security issues
 facing RFID in the medical sp...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5389113</comments>
            <pubDate>Wed, 02 Nov 2011 16:59:09 +0100</pubDate>
            <guid isPermaLink="false">5389113</guid>        </item>
        <item>
            <title>DigiSwitch: A Device to Allow Older Adults to Monitor and Direct the Collection and Transmission of Health Information Collected at Home</title>
            <link>http://www.medworm.com/index.php?rid=5389114&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ft805x4j0172x5144%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Home monitoring represents an appealing alternative for older adults considering out-of-home long term care and an avenue
 for informal caregivers and health care providers to gain decision-critical information about an older adults’ health and
 well-being. However, privacy concerns about having 24/7 monitoring, especially video monitoring, in the home environment have
 been cited as a major barrier in the design of home monitoring systems. In this paper we describe the design and evaluation
 of “DigiSwitch”, a medical system designed to allow older adults to view information as it is collected about them and temporarily
 cease transmission of data for privacy reasons. Results from a series of iterative user studies suggest that control over
 the transmission of m...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5389114</comments>
            <pubDate>Sun, 30 Oct 2011 05:38:04 +0100</pubDate>
            <guid isPermaLink="false">5389114</guid>        </item>
        <item>
            <title>The Adoption and Implementation of RFID Technologies in Healthcare: A Literature Review</title>
            <link>http://www.medworm.com/index.php?rid=5337467&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fr434301g344u0824%2F</link>
            <description>This study reviews literature on the use of RFID in healthcare/hospitals
 following a formal innovation-decision framework. We aim to identify the common applications, potential benefits, barriers,
 and critical success factors. Our study facilitates quick assessment and provides guidance for researchers and practitioners
 in adopting RFID in medical arenas. Many earlier adopters in healthcare found RFID to be functional and useful in such areas
 as asset tracking and patient identification. Major barriers to adoption include technological limitations, interference concerns,
 prohibitive costs, lack of global standards and privacy concerns. Better designed RFID systems with low cost and privacy issues
 addressed are needed to increase acceptance of RFID in healthcare.
 
 
	Content Type Jou...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5337467</comments>
            <pubDate>Tue, 18 Oct 2011 15:58:49 +0100</pubDate>
            <guid isPermaLink="false">5337467</guid>        </item>
        <item>
            <title>An Expert Support System for Breast Cancer Diagnosis using Color Wavelet Features</title>
            <link>http://www.medworm.com/index.php?rid=5337468&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fu2u9u1337w578561%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Breast cancer diagnosis can be done through the pathologic assessments of breast tissue samples such as core needle biopsy
 technique. The result of analysis on this sample by pathologist is crucial for breast cancer patient. In this paper, nucleus
 of tissue samples are investigated after decomposition by means of the Log-Gabor wavelet on HSV color domain and an algorithm
 is developed to compute the color wavelet features. These features are used for breast cancer diagnosis using Support Vector
 Machine (SVM) classifier algorithm. The ability of properly trained SVM is to correctly classify patterns and make them particularly
 suitable for use in an expert system that aids in the diagnosis of cancer tissue samples. The results are compared with other
 multivariate cla...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5337468</comments>
            <pubDate>Tue, 18 Oct 2011 05:46:49 +0100</pubDate>
            <guid isPermaLink="false">5337468</guid>        </item>
        <item>
            <title>Increasing the Reliability of Production Schedules in a Pharmaceutical Packaging Department</title>
            <link>http://www.medworm.com/index.php?rid=5324767&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fc001600703g211n8%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper studies quantitative methods for evaluating the potential benefits of introducing new advanced tracking technologies
 in the pharmaceutical industry with special reference to radio frequency identification (RFID). RFID technology is an effective
 way for increasing the quality of the data that are used to generate production schedules, but there is a lack of scientific
 research to quantify the return on investment that can be achieved in practice. In this work, we distinguish two major sources
 of data unreliability: one is the inherent stochasticity of operations, which cannot be reduced by RFID, and the other one
 is the data estimation error, which can be significantly reduced by RFID. We focus on the marginal contribution of the latter
 quantity to the p...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5324767</comments>
            <pubDate>Fri, 14 Oct 2011 15:42:44 +0100</pubDate>
            <guid isPermaLink="false">5324767</guid>        </item>
        <item>
            <title>Erratum to: Measuring Technical Efficiency in Primary Health Care: The Effect of Exogenous Variables on Results</title>
            <link>http://www.medworm.com/index.php?rid=5316542&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fd145m83767240nx7%2F</link>
            <description>Content Type Journal ArticleCategory ErratumPages 1-1DOI 10.1007/s10916-011-9782-2Authors
		José Manuel Cordero-Ferrera, University of Extremadura, Badajoz, SpainEva Crespo-Cebada, University of Extremadura, Badajoz, SpainLuis R. Murillo-Zamorano, University of Extremadura, Badajoz, Spain
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5316542</comments>
            <pubDate>Wed, 12 Oct 2011 16:32:03 +0100</pubDate>
            <guid isPermaLink="false">5316542</guid>        </item>
        <item>
            <title>Body Area Network for Ubiquitous Healthcare Applications: Theory and Implementation</title>
            <link>http://www.medworm.com/index.php?rid=5316541&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fw282uw3w17400635%2F</link>
            <description>Content Type Journal ArticleCategory EditorialPages 1-2DOI 10.1007/s10916-011-9787-xAuthors
		Sana Ullah, UWB-ITRC Center, Inha University, Incheon, South KoreaKyung Sup Kwak, UWB-ITRC Center, Inha University, Incheon, South Korea
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5316541</comments>
            <pubDate>Wed, 12 Oct 2011 16:32:03 +0100</pubDate>
            <guid isPermaLink="false">5316541</guid>        </item>
        <item>
            <title>A Generative Tool for Building Health Applications Driven by ISO 13606 Archetypes</title>
            <link>http://www.medworm.com/index.php?rid=5297840&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F5733q805650718l2%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The use of Electronic Healthcare Records (EHR) standards in the development of healthcare applications is crucial for achieving
 the semantic interoperability of clinical information. Advanced EHR standards make use of the dual model architecture, which
 provides a solution for clinical interoperability based on the separation of the information and knowledge. However, the impact
 of such standards is biased by the limited availability of tools that facilitate their usage and practical implementation.
 In this paper, we present an approach for the automatic generation of clinical applications for the ISO 13606 EHR standard,
 which is based on the dual model architecture. This generator has been generically designed, so it can be easily adapted to
 other dual model stand...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5297840</comments>
            <pubDate>Tue, 04 Oct 2011 05:52:14 +0100</pubDate>
            <guid isPermaLink="false">5297840</guid>        </item>
        <item>
            <title>The Progress of an American EHR–Part 1</title>
            <link>http://www.medworm.com/index.php?rid=5286879&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fq1q2362117054833%2F</link>
            <description>Content Type Journal ArticleCategory EditorialPages 1-2DOI 10.1007/s10916-011-9784-0Authors
		Ralph Grams, Pathology and Medical Informatics, College of Medicine University of Florida, Gainesville, FL 32610, USA
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5286879</comments>
            <pubDate>Sat, 01 Oct 2011 05:44:49 +0100</pubDate>
            <guid isPermaLink="false">5286879</guid>        </item>
        <item>
            <title>Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions</title>
            <link>http://www.medworm.com/index.php?rid=5286878&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F93842k544luuv584%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Use of computer based decision tools to aid clinical decision making, has been a primary goal of research in biomedical informatics.
 Research in the last five decades has led to the development of Medical Decision Support (MDS) applications using a variety
 of modeling techniques, for a diverse range of medical decision problems. This paper surveys literature on modeling techniques
 for diagnostic decision support, with a focus on decision accuracy. Trends and shortcomings of research in this area are discussed
 and future directions are provided. The authors suggest that—(i) Improvement in the accuracy of MDS application may be possible
 by modeling of vague and temporal data, research on inference algorithms, integration of patient information from diverse
 sources...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5286878</comments>
            <pubDate>Sat, 01 Oct 2011 05:44:49 +0100</pubDate>
            <guid isPermaLink="false">5286878</guid>        </item>
        <item>
            <title>In the World of Medical Alphabet Soup—“Will A Workable EMR or EHR Please Stand Up?”</title>
            <link>http://www.medworm.com/index.php?rid=5286880&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F800566qnk8142617%2F</link>
            <description>Content Type Journal ArticleCategory EditorialPages 1-3DOI 10.1007/s10916-011-9785-zAuthors
		Ralph Grams, Pathology and Medical Informatics, College of Medicine University of Florida, Gainesville, FL 32610, USA
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5286880</comments>
            <pubDate>Sat, 01 Oct 2011 05:44:48 +0100</pubDate>
            <guid isPermaLink="false">5286880</guid>        </item>
        <item>
            <title>A Swarm Optimized Neural Network System for Classification of Microcalcification in Mammograms</title>
            <link>http://www.medworm.com/index.php?rid=5262041&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F175300k53n015r64%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Early detection of microcalcification clusters in breast tissue will significantly increase the survival rate of the patients.
 Radiologists use mammography for breast cancer diagnosis at early stage. It is a very challenging and difficult task for radiologists
 to correctly classify the abnormal regions in the breast tissue, because mammograms are noisy images. To improve the accuracy
 rate of detection of breast cancer, a novel intelligent computer aided classifier is used, which detects the presence of microcalcification
 clusters. In this paper, an innovative approach for detection of microcalcification in digital mammograms using Swarm Optimization
 Neural Network (SONN) is used. Prior to classification Laws texture features are extracted from the image to capture ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5262041</comments>
            <pubDate>Sat, 24 Sep 2011 15:44:17 +0100</pubDate>
            <guid isPermaLink="false">5262041</guid>        </item>
        <item>
            <title>Advances and Current State of the Security and Privacy in Electronic Health Records: Survey from a Social Perspective</title>
            <link>http://www.medworm.com/index.php?rid=5251671&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fpq796674l747kh40%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;E-Health systems are experiencing an impulse in these last years, when many medical agencies began to include digital solutions
 into their platforms. Electronic Health Records (EHRs) are one of the most important improvements, being in its most part
 a patient-oriented tool. To achieve a completely operational EHR platform, security and privacy problems have to be resolved,
 due to the importance of the data included within these records. But given all the different methods to address security and
 privacy, they still remain in most cases as an open issue. This paper studies existing and proposed solutions included in
 different scenarios, in order to offer an overview of the current state in EHR systems. Bibliographic material has been obtained
 mainly from MEDLINE an...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5251671</comments>
            <pubDate>Fri, 23 Sep 2011 15:51:18 +0100</pubDate>
            <guid isPermaLink="false">5251671</guid>        </item>
        <item>
            <title>Triggers and Monitoring in Intelligent Personal Health Record</title>
            <link>http://www.medworm.com/index.php?rid=5251672&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk457872h20221708%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Although Web-based personal health records (PHRs) have been widely deployed, the existing ones have limited intelligence.
 Previously, we introduced expert system technology and Web search technology into the PHR domain and proposed the concept
 of an intelligent PHR (iPHR). iPHR provides personalized healthcare information to facilitate users’ daily activities of living.
 The current iPHR is passive and follows the pull model of information distribution. This paper introduces triggers and monitoring
 into iPHR to make iPHR become active. Our idea is to let medical professionals pre-compile triggers and store them in iPHR’s
 knowledge base. Each trigger corresponds to an abnormal event that may have potential medical impact. iPHR keeps collecting,
 processing, and a...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5251672</comments>
            <pubDate>Fri, 23 Sep 2011 05:46:58 +0100</pubDate>
            <guid isPermaLink="false">5251672</guid>        </item>
        <item>
            <title>Fuzzy Rule-Based Expert System for Evaluating Level of Asthma Control</title>
            <link>http://www.medworm.com/index.php?rid=5227437&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F7540476248388854%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Asthma control is a final goal of asthma therapy process. Despite outstanding progress in discovering various variables affecting
 asthma control levels, disregarding some of them by physicians and variables’ inherent uncertainty are the major causes of
 underestimating of asthma control levels and as a result asthma morbidity and mortality. In this paper, we provide an intelligent
 fuzzy system as a solution for this problem. Inputs of this system are composed of 14 variables organized in five modules
 of respiratory symptoms severity, bronchial obstruction, asthma instability, current treatment, and quality of life. Output
 of this system is degree of asthma control defined in the score (0–10). Evaluation of performance of this system by 42 asthmatic
 patients at ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5227437</comments>
            <pubDate>Tue, 13 Sep 2011 05:50:23 +0100</pubDate>
            <guid isPermaLink="false">5227437</guid>        </item>
        <item>
            <title>Effective Diagnosis of Coronary Artery Disease Using The Rotation Forest Ensemble Method</title>
            <link>http://www.medworm.com/index.php?rid=5227438&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F68354v1025504163%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Coronary Artery Disease is a common heart disease related to disorders effecting the heart and blood vessels. Since the disease
 is one of the leading causes of heart attacks and thus deaths, diagnosis of the disease in its early stages or in cases when
 patients do not show many of the symptoms yet has considerable importance. In the literature, studies based on computational
 methods have been proposed to diagnose the disease with readily available and easily collected patient data, and among these
 studies, the greatest accuracy reached is 89.01%. This paper presents a computational tool based on the Rotation Forest algorithm
 to effectively diagnose Coronary Artery Disease in order to support clinical decision-making processes. The proposed method
 utilizes Artifici...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5227438</comments>
            <pubDate>Tue, 13 Sep 2011 05:50:21 +0100</pubDate>
            <guid isPermaLink="false">5227438</guid>        </item>
        <item>
            <title>A Privacy-Strengthened Scheme for E-Healthcare Monitoring System</title>
            <link>http://www.medworm.com/index.php?rid=5210324&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F6711522706797688%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Recent Advances in Wireless Body Area Networks (WBANs) offer unprecedented opportunities and challenges to the development
 of pervasive electronic healthcare (E-Healthcare) monitoring system. In E-Healthcare system, the processed data are patients’
 sensitive health data that are directly related to individuals’ privacy. For this reason, privacy concern is of great importance
 for E-Healthcare system. Current existing systems for E-Healthcare services, however, have not yet provided sufficient privacy
 protection for patients. In order to offer adequate security and privacy, in this paper, we propose a privacy-enhanced scheme
 for patients’ physical condition monitoring, which achieves dual effects: (1) providing unlinkability of health records and
 individual id...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5210324</comments>
            <pubDate>Fri, 09 Sep 2011 16:45:45 +0100</pubDate>
            <guid isPermaLink="false">5210324</guid>        </item>
        <item>
            <title>Determination of Women Iron Deficiency Anemia Using Neural Networks</title>
            <link>http://www.medworm.com/index.php?rid=5197122&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ff0p3288266876165%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Iron deficiency anemia (IDA) is a common type of anemia which most often occurs in young adult women. Detection of Iron deficiency
 requires blood tests and doctors’ decision. Doing so can be costly and difficult especially in undeveloped countries. In this
 study, we developed an application by using Feedforward Networks (FFN), Cascade Forward Networks (CFN), Distributed Delay
 Networks (DDN), Time Delay Networks (TDN), Probabilistic Neural Network (PNN), and Learning Vector Quantization (LVQ) networks
 that can diagnose iron deficiency anemia in women.
 
 
	Content Type Journal ArticleCategory ORIGINAL PAPERPages 1-5DOI 10.1007/s10916-011-9772-4Authors
		Ziynet Yılmaz, Department of Computer Engineering, Sakarya University, Sakarya, TurkeyM. Recep Bozkurt, Departme...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5197122</comments>
            <pubDate>Thu, 01 Sep 2011 06:11:20 +0100</pubDate>
            <guid isPermaLink="false">5197122</guid>        </item>
        <item>
            <title>The Effect of Artificial Neural Network Model Combined with Six Tumor Markers in Auxiliary Diagnosis of Lung Cancer</title>
            <link>http://www.medworm.com/index.php?rid=5197123&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fv2l4781t07756450%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;To evaluate the diagnosis potential of artificial neural network (ANN) model combined with six tumor markers in auxiliary
 diagnosis of lung cancer, to differentiate lung cancer from lung benign disease, normal control, and gastrointestinal cancers.
 Serum carcino-embryonic antigen (CEA), gastrin, neurone specific enolase (NSE), sialic acid (SA), Cu/Zn, Ca were measured
 through different experimental procedures in 117 lung cancer patients, 93 lung benign disease patients, 111 normal control,
 47 gastric cancer patients, 50 patients with colon cancer and 50 esophagus cancer patients, 19 parameters of basic information
 were surveyed among lung cancer, lung benign disease and normal control, then developed and evaluated ANN models to distinguish
 lung cancer. Using the A...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5197123</comments>
            <pubDate>Thu, 01 Sep 2011 06:11:17 +0100</pubDate>
            <guid isPermaLink="false">5197123</guid>        </item>
        <item>
            <title>RBAC-Matrix-Based EMR Right Management System to Improve HIPAA Compliance</title>
            <link>http://www.medworm.com/index.php?rid=5197124&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk232n00631407364%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Security control of Electronic Medical Record (EMR) is a mechanism used to manage electronic medical records files and protect
 sensitive medical records document from information leakage. Researches proposed the Role-Based Access Control(RBAC). However,
 with the increasing scale of medical institutions, the access control behavior is difficult to have a detailed declaration
 among roles in RBAC. Furthermore, with the stringent specifications such as the U.S. HIPAA and Canada PIPEDA etc., patients
 are encouraged to have the right in regulating the access control of his EMR. In response to these problems, we propose an
 EMR digital rights management system, which is a RBAC-based extension to a matrix organization of medical institutions, known
 as RBAC-Matrix. With the...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5197124</comments>
            <pubDate>Thu, 01 Sep 2011 06:11:16 +0100</pubDate>
            <guid isPermaLink="false">5197124</guid>        </item>
        <item>
            <title>A Secure Lightweight RFID Binding Proof Protocol for Medication Errors and Patient Safety</title>
            <link>http://www.medworm.com/index.php?rid=5171006&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F6k136116325864lq%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Quite recently, Yu et al. presented a real lightweight binding proof protocol to guard patient safety and prevent medication
 errors. In this paper, we first show their protocol is still vulnerable to impersonation attacks. Thereafter we propose a
 new lightweight binding proof protocol to overcome these weaknesses and securely achieve the goal of proving that two tags
 exist in the field simultaneously.
 
 
	Content Type Journal ArticleCategory Original PaperPages 1-7DOI 10.1007/s10916-011-9750-xAuthors
		Shuhua Wu, Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, ChinaKefei Chen, Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, ChinaYuefei Zhu, Department of Networks Engineering, Zhengzhou I...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5171006</comments>
            <pubDate>Fri, 26 Aug 2011 16:26:22 +0100</pubDate>
            <guid isPermaLink="false">5171006</guid>        </item>
        <item>
            <title>A Qualitative Framework to Assess Hospital / Medical Websites</title>
            <link>http://www.medworm.com/index.php?rid=5171007&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm4054wn767076nm7%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Nowadays, there are many peoples who access to the internet to search for a proper hospital with their desired medical services.
 Hence, the website quality of hospitals or medical centers is very important to help patients/users. However, to design high
 qualitative medical websites, we should first know the medical quality metrics. Then, we should try to find a way to assess
 different medical websites based on the quality metrics. In fact, medical websites may have a significant role to increase
 the society’s knowledge about people health, provided services for patients etc. Thus, it is necessary to design a framework
 to evaluate the quality of these websites. Even though there are many medical websites, unfortunately, there are a few studies
 about quality analy...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5171007</comments>
            <pubDate>Fri, 26 Aug 2011 16:26:21 +0100</pubDate>
            <guid isPermaLink="false">5171007</guid>        </item>
        <item>
            <title>Threat Modeling for Electronic Health Record Systems</title>
            <link>http://www.medworm.com/index.php?rid=5171008&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk701j73vq125m8x6%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The security of electronic health record (EHR) systems is crucial for their growing acceptance. There is a need for assurance
 that these records are securely protected from attacks. For a system as complex as an EHR system, the number of possible attacks
 is potentially very large. In this paper, a threat modeling methodology, known as attack tree, is employed to analyze attacks affecting EHR systems. The analysis is based on a proposed generic client-server model of
 EHR systems. The developed attack tree is discussed along with some system properties that enable quantitative and qualitative
 analysis. A list of suggested countermeasures are also highlighted.
 
 
	Content Type Journal ArticleCategory Original PaperPages 1-6DOI 10.1007/s10916-011-9770-6Authors
		Ahmad ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5171008</comments>
            <pubDate>Fri, 26 Aug 2011 05:47:43 +0100</pubDate>
            <guid isPermaLink="false">5171008</guid>        </item>
        <item>
            <title>Design of the Image-Guided Biopsy Marking System for Gastroscopy</title>
            <link>http://www.medworm.com/index.php?rid=5171009&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fb0251712qv215n68%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Endoscopists currently rely on an invasive biopsy tattooing method to identify previously biopsied sites. In order to better
 guide endoscopists to find the biopsy positions in follow-ups, we proposed a non-invasive image guided biopsy marking system
 for gastroscopy. Using an electromagnetic tracking device, the position of the gastroscope relative to the stomach was acquired
 and displayed in the guidance interface. The biopsy positions were recorded in computer for the use of guidance in follow-ups.
 The accuracy of the system was evaluated by both phantom experiments and in vivo experiments. The average target registration
 errors on the test animal and the volunteer are 13.4&amp;nbsp;mm and 11.2&amp;nbsp;mm respectively. Although the positioning error is slightly
 larger t...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5171009</comments>
            <pubDate>Fri, 26 Aug 2011 05:47:42 +0100</pubDate>
            <guid isPermaLink="false">5171009</guid>        </item>
        <item>
            <title>A Simulation Study of TaMAC Protocol using Network Simulator 2</title>
            <link>http://www.medworm.com/index.php?rid=5163768&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fd610k33640u0k736%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;A Wireless Body Area Network (WBAN) is expected to play a significant role in future healthcare system. It interconnects low-cost
 and intelligent sensor nodes in, on, or around a human body to serve a variety of medical applications. It can be used to
 diagnose and treat patients with chronic diseases such as hypertensions, diabetes, and cardiovascular diseases. The lightweight
 sensor nodes integrated in WBAN require low-power operation, which can be achieved using different optimization techniques.
 We introduce a Traffic-adaptive MAC protocol (TaMAC) for WBAN that supports dual wakeup mechanisms for normal, emergency,
 and on-demand traffic. In this letter, the TaMAC protocol is simulated using a well-known Network Simulator 2 (NS-2). The
 problem of multiple emerge...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5163768</comments>
            <pubDate>Tue, 23 Aug 2011 15:54:28 +0100</pubDate>
            <guid isPermaLink="false">5163768</guid>        </item>
        <item>
            <title>Prediction of Breast Cancer Using Artificial Neural Networks</title>
            <link>http://www.medworm.com/index.php?rid=5133073&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm370286638440xk3%2F</link>
            <description>In this study, an artificial neural network (ANN) was developed to determine whether patients have breast cancer or not. Whether
 patients have cancer or not and if they have its type can be determined by using ANN and BI-RADS evaluation and based on the
 age of the patient, mass shape, mass border and mass density. Though this system cannot diagnose cancer conclusively, it helps
 physicians in deciding whether a biopsy is required by providing information about whether the patient has breast cancer or
 not. Data obtained from 800 patients who were diagnosed with cancer definitively through biopsy. The definitive diagnosis
 corresponding to each patient and the data from ANN model results were investigated using Confusion matrix and ROC analyses.
 In the test data of the ANN model that was...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5133073</comments>
            <pubDate>Fri, 12 Aug 2011 06:16:03 +0100</pubDate>
            <guid isPermaLink="false">5133073</guid>        </item>
        <item>
            <title>Manual Refinement System for Graph-Based Segmentation Results in the Medical Domain</title>
            <link>http://www.medworm.com/index.php?rid=5120713&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fx3n1p42316364535%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The basic principle of graph-based approaches for image segmentation is to interpret an image as a graph, where the nodes
 of the graph represent 2D pixels or 3D voxels of the image. The weighted edges of the graph are obtained by intensity differences
 in the image. Once the graph is constructed, the minimal cost closed set on the graph can be computed via a polynomial time
 s-t cut, dividing the graph into two parts: the object and the background. However, no segmentation method provides perfect
 results, so additional manual editing is required, especially in the sensitive field of medical image processing. In this
 study, we present a manual refinement method that takes advantage of the basic design of graph-based image segmentation algorithms.
 Our approach restric...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5120713</comments>
            <pubDate>Mon, 08 Aug 2011 19:54:43 +0100</pubDate>
            <guid isPermaLink="false">5120713</guid>        </item>
        <item>
            <title>Understanding the Need of Health Care Providers for Teleconsultation and Technological Attributes in Relation to The Acceptance of Teleconsultation in Malaysia: A Mixed Methods Study</title>
            <link>http://www.medworm.com/index.php?rid=5120712&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fx4l011625162h440%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The aim of this study was to explore the importance of service need along with perceived technology attributes in potentially
 influence the acceptance of teleconsultation. The study was conducted based on the concurrent triangulation design involving
 qualitative and quantitative study methods. These entailed interviews with key informants and questionnaires survey of health
 care providers who practiced in the participating hospitals in Malaysia. Thematic analysis involving iterative coding was
 conducted on qualitative data. Scale reliability test and hypothesis testing procedures were performed on quantitative data.
 Subsequently, both data were merged, compared and interpreted. In particular, this study utilized a qualitative priority such
 that a superior emphasis...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5120712</comments>
            <pubDate>Mon, 08 Aug 2011 19:54:43 +0100</pubDate>
            <guid isPermaLink="false">5120712</guid>        </item>
        <item>
            <title>Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval</title>
            <link>http://www.medworm.com/index.php?rid=5110707&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F8547365082382j75%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;A new algorithm for medical image retrieval is presented in the paper. An 8-bit grayscale image is divided into eight binary
 bit-planes, and then binary wavelet transform (BWT) which is similar to the lifting scheme in real wavelet transform (RWT)
 is performed on each bitplane to extract the multi-resolution binary images. The local binary pattern (LBP) features are extracted
 from the resultant BWT sub-bands. Three experiments have been carried out for proving the effectiveness of the proposed algorithm.
 Out of which two are meant for medical image retrieval and one for face retrieval. It is further mentioned that the database
 considered for three experiments are OASIS magnetic resonance imaging (MRI) database, NEMA computer tomography (CT) database
 and PolyU-NIRF...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5110707</comments>
            <pubDate>Sat, 06 Aug 2011 05:47:00 +0100</pubDate>
            <guid isPermaLink="false">5110707</guid>        </item>
        <item>
            <title>Design Ensemble Machine Learning Model for Breast Cancer Diagnosis</title>
            <link>http://www.medworm.com/index.php?rid=5098833&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fb87162u8947706h5%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, we classify the breast cancer of medical diagnostic data. Information gain has been adapted for feature selections.
 Neural fuzzy (NF), k-nearest neighbor (KNN), quadratic classifier (QC), each single model scheme as well as their associated,
 ensemble ones have been developed for classifications. In addition, a combined ensemble model with these three schemes has
 been constructed for further validations. The experimental results indicate that the ensemble learning performs better than
 individual single ones. Moreover, the combined ensemble model illustrates the highest accuracy of classifications for the
 breast cancer among all models.
 
 
	Content Type Journal ArticlePages 1-7DOI 10.1007/s10916-011-9762-6Authors
		Sheau-Ling Hsieh, Network and Comput...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5098833</comments>
            <pubDate>Tue, 02 Aug 2011 16:02:00 +0100</pubDate>
            <guid isPermaLink="false">5098833</guid>        </item>
        <item>
            <title>Using RFID Yoking Proof Protocol to Enhance Inpatient Medication Safety</title>
            <link>http://www.medworm.com/index.php?rid=5098834&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F2876pn1652616664%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The low birth rate has led to an aging society; the burgeoning number of elderly patients may affect the medical quality and
 result in negative medical incidents. There are many factors that lead to medical errors, such as similar medication names,
 erroneous labels and packaging, as well as staff shortages, fatigue and carelessness. Determining how to reduce medical errors
 has become an important issue. As RFID exhibits powerful identification characteristics, it can help nurses to quickly identify
 patients and their corresponding medicine. Currently, there are numerous practical applications for improving the efficiency
 of Radio Frequency Identification (RFID) systems. In this paper, we use an RFID yoking proof mechanism which conforms to EPCglobal
 Class 1 Genera...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5098834</comments>
            <pubDate>Tue, 02 Aug 2011 16:01:59 +0100</pubDate>
            <guid isPermaLink="false">5098834</guid>        </item>
        <item>
            <title>ECC-Based Grouping-Proof RFID for Inpatient Medication Safety</title>
            <link>http://www.medworm.com/index.php?rid=5064466&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F4l607838j591u242%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Several papers were proposed in which symmetric cryptography was used to design RFID grouping-proof for medication safety
 in the Journal of Medical Systems. However, if we want to ensure privacy, authentication and protection against the tracking
 of RFID-tags without losing system scalability, we must design an asymmetric cryptography-based RFID. This paper will propose
 a new ECC-based grouping-proof for RFID. Our ECC-based grouping-proof reduces the computation of tags and prevents timeout
 problems from occurring in n-party grouping-proof protocol. Based on asymmetric cryptography, the proposed scheme is practical, secure and efficient for
 medication applications.
 
 
	Content Type Journal ArticlePages 1-5DOI 10.1007/s10916-011-9757-3Authors
		Qiping Lin, School o...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5064466</comments>
            <pubDate>Fri, 22 Jul 2011 17:05:50 +0100</pubDate>
            <guid isPermaLink="false">5064466</guid>        </item>
        <item>
            <title>A Robust Method for Ventriculomegaly Detection from Neonatal Brain Ultrasound Images</title>
            <link>http://www.medworm.com/index.php?rid=5064467&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk368047217834331%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Ventriculomegaly is the most commonly detected abnormality in neonatal brain. It can be defined as a condition when the human
 brain ventricle system becomes dilated. This in turn increases the intracranial pressure inside the skull resulting in progressive
 enlargement of the head. Sometimes it may also cause mental disability or death. For these reasons early detection of ventriculomegaly
 has become an important task. In order to identify ventriculomegaly from neonatal brain ultrasound images, we propose an automated
 image processing based approach that measures the anterior horn width as the distance between medial wall and floor of the
 lateral ventricle at the widest point. Measurement is done in the plane of the scan at the level of the intraventricular foramina...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5064467</comments>
            <pubDate>Fri, 22 Jul 2011 17:05:49 +0100</pubDate>
            <guid isPermaLink="false">5064467</guid>        </item>
        <item>
            <title>Neural Network Approaches to Grade Adult Depression</title>
            <link>http://www.medworm.com/index.php?rid=5064468&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fn75j80746106n721%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Depression is a common but worrying psychological disorder that adversely affects one’s quality of life. It is more ominous
 to note that its incidence is increasing. On the other hand, screening and grading of depression is still a manual and time
 consuming process that might be biased. In addition, grades of depression are often determined in continuous ranges, e.g.,
 ‘mild to moderate’ and ‘moderate to severe’ instead of making them more discrete as ‘mild’, ‘moderate’, and ‘severe’. Grading
 as a continuous range is confusing to the doctors and thus affecting the management plan at large. Given this practical issue,
 the present paper attempts to differentiate depression grades more accurately using two neural net learning approaches—‘super...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5064468</comments>
            <pubDate>Thu, 21 Jul 2011 18:13:55 +0100</pubDate>
            <guid isPermaLink="false">5064468</guid>        </item>
        <item>
            <title>Seamless Interworking Architecture for WBAN in Heterogeneous Wireless Networks with QoS Guarantees</title>
            <link>http://www.medworm.com/index.php?rid=5041069&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fx52230773n1763k5%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The IEEE 802.15.6 standard is a communication standard optimized for low-power and short-range in-body/on-body nodes to serve
 a variety of medical, consumer electronics and entertainment applications. Providing high mobility with guaranteed Quality
 of Service (QoS) to a WBAN user in heterogeneous wireless networks is a challenging task. A WBAN uses a Personal Digital Assistant
 (PDA) to gather data from body sensors and forwards it to a remote server through wide range wireless networks. In this paper,
 we present a coexistence study of WBAN with Wireless Local Area Networks (WLAN) and Wireless Wide Area Networks (WWANs). The
 main issue is interworking of WBAN in heterogenous wireless networks including seamless handover, QoS, emergency services,
 cooperation and sec...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5041069</comments>
            <pubDate>Fri, 15 Jul 2011 15:55:44 +0100</pubDate>
            <guid isPermaLink="false">5041069</guid>        </item>
        <item>
            <title>Comparing Four Softwares Based on ISO 9241 Part 10</title>
            <link>http://www.medworm.com/index.php?rid=5041070&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fd622222247381855%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Evaluation of Iran’s HIS (hospital Information System) ergonomic quality using IsoMetric 9241 part 10 and compared results
 of that evaluation with results of ergonomic quality evaluation other softwares which evaluated by IsoMetric 9241 part 10.
 This research study was conducted in two stages. In the first stage, the researchers evaluated the HIS of 13 hospitals in
 Iran using ISO 9241 part 10, and in the second stage, they compared the evaluation results with the following softwares: a)
 IS-H*med (evaluated by Hamborg et al. 2004) b) SAP-HR (evaluated by Gruber 2000) c) Microsoft Word for Windows, Version 2 (evaluated by Gediga et al. 1999). For first stage used usability questionnaire called IsoMetrics which is based on the international standard ISO 9241 Part
 10...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5041070</comments>
            <pubDate>Thu, 14 Jul 2011 06:03:53 +0100</pubDate>
            <guid isPermaLink="false">5041070</guid>        </item>
        <item>
            <title>A Design of Tamper Resistant Prescription RFID Access Control System</title>
            <link>http://www.medworm.com/index.php?rid=5031439&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fxum0136043149j44%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, we propose a tamper resistant prescription RFID access control protocol for different authorized readers. Not
 only the authentication mechanism but also the access right authorization mechanism is designed in our scheme. Only the specific
 doctor, usually the patient’s doctor, can access the tag. Moreover, some related information of patient’s prescription is
 attached to a RFID tag for tamper resistance. The patients’ rights will be guaranteed.
 
 
	Content Type Journal ArticlePages 1-7DOI 10.1007/s10916-011-9758-2Authors
		Yu-Yi Chen, Department of Management Information System, National Chung Hsing University, 250 Kuo Kuang Road, 402 Taichung, Taiwan, Republic of ChinaDer-Chen Huang, Department of Computer Science and Engineering, National Chung...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5031439</comments>
            <pubDate>Wed, 13 Jul 2011 06:12:10 +0100</pubDate>
            <guid isPermaLink="false">5031439</guid>        </item>
        <item>
            <title>Identifying Regions of Interest in Medical Images Using Self-Organizing Maps</title>
            <link>http://www.medworm.com/index.php?rid=5031440&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F3682145tx34w178t%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Advances in data acquisition, processing and visualization techniques have had a tremendous impact on medical imaging in recent
 years. However, the interpretation of medical images is still almost always performed by radiologists. Developments in artificial
 intelligence and image processing have shown the increasingly great potential of computer-aided diagnosis (CAD). Nevertheless,
 it has remained challenging to develop a general approach to process various commonly used types of medical images (e.g.,
 X-ray, MRI, and ultrasound images). To facilitate diagnosis, we recommend the use of image segmentation to discover regions
 of interest (ROI) using self-organizing maps (SOM). We devise a two-stage SOM approach that can be used to precisely identify
 the dominant colo...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5031440</comments>
            <pubDate>Tue, 12 Jul 2011 05:55:33 +0100</pubDate>
            <guid isPermaLink="false">5031440</guid>        </item>
        <item>
            <title>Computer-Assisted Diagnosis of Tuberculosis: A First Order Statistical Approach to Chest Radiograph</title>
            <link>http://www.medworm.com/index.php?rid=5021873&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fj74118q12736t081%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Textural properties of normal and tuberculosis posterior-anterior chest radiographs were looked into in this investigation.
 The proposed computerized scheme segmented the lung field of interest using a user-guided snake algorithm and extracted the
 corresponding pixel data. For both normal and tuberculosis radiographs, the grayscale intensity distribution within the region
 of interest was analyzed to study their respective characteristics, and fed to classifiers for automated classification. Statistically
 the tuberculosis infected radiographs manifested a higher variance, third moment, entropy and a lower mean value in their
 intensity distributions, compared to their normal peers. The greater disparities between a particular radiograph and the confidence
 interval d...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5021873</comments>
            <pubDate>Thu, 07 Jul 2011 05:44:55 +0100</pubDate>
            <guid isPermaLink="false">5021873</guid>        </item>
        <item>
            <title>Breast Tissue Image Classification Based on Semi-supervised Locality Discriminant Projection with Kernels</title>
            <link>http://www.medworm.com/index.php?rid=5021875&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fa4267301425716r5%2F</link>
            <description>We present Semi-supervised
 Locality Discriminant Projections with Kernels for breast cancer classification. The contributions of this work lie in: 1)
 Semi-supervised learning is used into Locality Preserving Projections (LPP) to enhance its performance using side-information
 together with the unlabelled training samples, while current algorithms only consider the side-information but ignoring the
 unlabeled training samples. 2) Kernel trick is applied into Semi-supervised LPP to improve its ability in the nonlinear classification.
 3) The framework of breast cancer classification with Semi-supervised LPP with kernels is presented. Many experiments are
 implemented on four breast tissue databases to testify and evaluate the feasibility and affectivity of the proposed scheme.
 
 
	Content...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5021875</comments>
            <pubDate>Thu, 07 Jul 2011 05:44:54 +0100</pubDate>
            <guid isPermaLink="false">5021875</guid>        </item>
        <item>
            <title>Two RFID-Based Solutions for Secure Inpatient Medication Administration</title>
            <link>http://www.medworm.com/index.php?rid=5010683&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk2616133306726w5%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Medication error can easily cause serious health damage to inpatients in hospital. Consequently, the whole society has to
 spend huge amount of extra resources for additional therapies and medication on those affected inpatients. In order to prevent
 medication errors, secure inpatient medication administration system is required in a hospital. Using RFID technology, such
 administration system provides automated medication verification for inpatient’s medicine doses and generates corresponding
 medication evidence, which may be audited later for medical dispute. Recently, Peris-Lopez et al. (Int. J. Med. Inform., 2011) proposed an IS-RFID system to enhance inpatient medication safety. Nevertheless, IS-RFID system does not detect the denial
 of proof attack efficientl...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5010683</comments>
            <pubDate>Wed, 06 Jul 2011 05:56:26 +0100</pubDate>
            <guid isPermaLink="false">5010683</guid>        </item>
        <item>
            <title>Breast Cancer Classification Based on Advanced Multi Dimensional Fuzzy Neural Network</title>
            <link>http://www.medworm.com/index.php?rid=5000127&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F3gm6x6532n50647q%2F</link>
            <description>In this study, the HFNN and FGPNN by using new training algorithm, are
 applied to the Wisconsin Breast Cancer Database to classify breast cancer into two groups; benign and malignant lesions. The
 HFNN consists of hierarchically connected low-dimensional fuzzy neural networks. It can use fewer rules and parameters to
 model nonlinear system. Moreover, the FGPNN consists of Gaussian Potential Function (GPF) used in the antecedent as the membership
 function. When the number of inputs increases in FGPNN, the number of fuzzy rules does not increase. The performance of HFNN
 and FGPNN are evaluated and compared with FNN. Simulation results show the effectiveness of these methods even with less rules
 and parameters in performance result. These methods maintain the accuracy of original fuzzy n...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5000127</comments>
            <pubDate>Thu, 30 Jun 2011 09:38:31 +0100</pubDate>
            <guid isPermaLink="false">5000127</guid>        </item>
        <item>
            <title>Diagnosis of Diabetes Diseases Using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest Neighbor</title>
            <link>http://www.medworm.com/index.php?rid=4971270&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F6q4j07660t33631q%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The use of expert systems and artificial intelligence techniques in disease diagnosis has been increasing gradually. Artificial
 Immune Recognition System (AIRS) is one of the methods used in medical classification problems. AIRS2 is a more efficient
 version of the AIRS algorithm. In this paper, we used a modified AIRS2 called MAIRS2 where we replace the K- nearest neighbors
 algorithm with the fuzzy K-nearest neighbors to improve the diagnostic accuracy of diabetes diseases. The diabetes disease
 dataset used in our work is retrieved from UCI machine learning repository. The performances of the AIRS2 and MAIRS2 are evaluated
 regarding classification accuracy, sensitivity and specificity values. The highest classification accuracy obtained when applying
 the AIRS2 and...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4971270</comments>
            <pubDate>Wed, 22 Jun 2011 06:04:15 +0100</pubDate>
            <guid isPermaLink="false">4971270</guid>        </item>
        <item>
            <title>Variable Threshold Method for ECG R-peak Detection</title>
            <link>http://www.medworm.com/index.php?rid=4971271&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F25405q5658815196%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, a wearable belt-type ECG electrode worn around the chest by measuring the real-time ECG is produced in order
 to minimize the inconvenient in wearing. ECG signal is detected using a potential instrument system. The measured ECG signal
 is transmits via an ultra low power consumption wireless data communications unit to personal computer using Zigbee-compatible
 wireless sensor node. ECG signals carry a lot of clinical information for a cardiologist especially the R-peak detection in
 ECG. R-peak detection generally uses the threshold value which is fixed. There will be errors in peak detection when the baseline
 changes due to motion artifacts and signal size changes. Preprocessing process which includes differentiation process and
 Hilbert transform is u...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4971271</comments>
            <pubDate>Tue, 21 Jun 2011 20:56:57 +0100</pubDate>
            <guid isPermaLink="false">4971271</guid>        </item>
        <item>
            <title>Formal Verification of Medical Monitoring Software Using Z Language: A Representative Sample</title>
            <link>http://www.medworm.com/index.php?rid=4947117&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp61v78857746w6lw%2F</link>
            <description>This study aims to present a constructive
 method to verify a representative sample of a medical system by which the system is visually specified and formally verified
 against patient constraints stated in Z Language. Exploiting our past experience in formal modeling Continuous Infusion Insulin
 Pump (CIIP), we think of the CIIP system as a representative sample of medical systems in proposing our present study. The
 system is responsible for monitoring diabetic’s blood sugar.
 
 
	Content Type Journal ArticlePages 1-16DOI 10.1007/s10916-011-9739-5Authors
		Seyed Morteza Babamir, University of Kashan, Kashan, IranMehdi Borhani, University of Kashan, Kashan, Iran
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4947117</comments>
            <pubDate>Fri, 17 Jun 2011 10:55:19 +0100</pubDate>
            <guid isPermaLink="false">4947117</guid>        </item>
        <item>
            <title>Classification of Juvenile Myoclonic Epilepsy Data Acquired Through Scanning Electromyography with Machine Learning Algorithms</title>
            <link>http://www.medworm.com/index.php?rid=4947116&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F06101405154w6701%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control
 (NC) groups was established using Feed-Forward Neural Networks (NN), Support Vector Machines (SVM), Decision Trees (DT), and
 Naïve Bayes (NB) methods by utilizing the data obtained through the scanning EMG method used in a clinical study. An experimental
 setup was built for this purpose. 105 motor units were measured. 44 of them belonged to JME group consisting of 9 patients
 and 61 of them belonged to NC group comprising ten healthy volunteers. k-fold cross validation was applied to train and test
 the models. ROC curves were drawn for k values of 4, 6, 8 and 10. 100% of detection sensitivity was obtained for DT, NN, and
 NB classification...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4947116</comments>
            <pubDate>Fri, 17 Jun 2011 10:55:19 +0100</pubDate>
            <guid isPermaLink="false">4947116</guid>        </item>
        <item>
            <title>A Mobile Agent Approach for Secure Integrated Medical Information Systems</title>
            <link>http://www.medworm.com/index.php?rid=4947118&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ff4r53852056t4n71%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Different patient-related information in medical organizations is the primary reference for medical personnel diagnosing,
 treating, and caring patients. With the rapid development of information technology, paper-based medical records have gradually
 been changed to electronic forms. However, different medical organizations present individual system specifications and data-saving
 formats so that the medical information of the same patient cannot be exchanged, shared, and securely accessed. In order not
 to largely change the present medical information systems as well as not to increase abundant costs, Virtual Integrated Medical-information
 Systems (VIMS) is proposed to assist various hospitals in information exchange. Furthermore, with Mobile Agent, the dispersed
 m...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4947118</comments>
            <pubDate>Fri, 17 Jun 2011 10:55:18 +0100</pubDate>
            <guid isPermaLink="false">4947118</guid>        </item>
        <item>
            <title>Enabling Fast Brain-Computer Interaction by Single-Trial Extraction of Visual Evoked Potentials</title>
            <link>http://www.medworm.com/index.php?rid=4947119&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fx6g1501115511175%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper investigates the challenging issue of enabling fast brain-computer interaction to construct a mental speller. Exploiting
 visual evoked potentials as communication carriers, an online paradigm called “imitating-human-natural-reading” is realized.
 In this online paradigm, single-trial estimation with the intrinsically real-time feature should be used instead of grand
 average that is traditionally used in the cognitive or clinical experiments. By the use of several montages of component features
 from four channels with parameter optimization, we explored the support vector machines-based single-trial estimation of evoked
 potentials. The results on a human-subject show the advantages of the inducing paradigm used in our mental speller with a
 high classi...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4947119</comments>
            <pubDate>Fri, 17 Jun 2011 10:55:16 +0100</pubDate>
            <guid isPermaLink="false">4947119</guid>        </item>
        <item>
            <title>Decision Support Algorithm for Diagnosis of ADHD Using Electroencephalograms</title>
            <link>http://www.medworm.com/index.php?rid=4947120&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F1r2479052q75p386%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Attention deficit hyperactivity disorder is a complex brain disorder which is usually difficult to diagnose. As a result many
 literature reports about the increasing rate of misdiagnosis of ADHD disorder with other types of brain disorder. There is
 also a risk of normal children to be associated with ADHD if practical diagnostic criteria are not supported. To this end
 we propose a decision support system in diagnosing of ADHD disorder through brain electroencephalographic signals. Subjects
 of 10 children participated in this study, 7 of them were diagnosed with ADHD disorder and remaining 3 children are normal
 group. Our main goal of this sthudy is to present a supporting diagnostic tool that uses signal processing for feature selection
 and machine learning algori...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4947120</comments>
            <pubDate>Tue, 14 Jun 2011 05:52:48 +0100</pubDate>
            <guid isPermaLink="false">4947120</guid>        </item>
        <item>
            <title>Characterizing Mammography Reports for Health Analytics</title>
            <link>http://www.medworm.com/index.php?rid=4947121&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fg4vp6645j6721745%2F</link>
            <description>We present experimental results
 that demonstrate the validity and usefulness of the approach, since the results are consistent with the known features of
 the data, provide novel insights about it, and can be used in specific applications. Additionally, based on the process of
 going from raw data to results from analysis, we present the architecture of a generic system for health analytics from clinical
 notes.
 
 
	Content Type Journal ArticlePages 1-14DOI 10.1007/s10916-011-9685-2Authors
		Carlos C. Rojas, Oak Ridge National Lab, One Bethel Valley Road, P.O. Box 2008, MS-6085, Oak Ridge, TN 37831-6085, USARobert M. Patton, Oak Ridge National Lab, One Bethel Valley Road, P.O. Box 2008, MS-6085, Oak Ridge, TN 37831-6085, USABarbara G. Beckerman, Oak Ridge National Lab, One Bethel Valley ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4947121</comments>
            <pubDate>Tue, 14 Jun 2011 05:52:47 +0100</pubDate>
            <guid isPermaLink="false">4947121</guid>        </item>
        <item>
            <title>Computerized Disease Profiling Using GPS-Linked Multi-Function Sensor Cartridges</title>
            <link>http://www.medworm.com/index.php?rid=4939032&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fx08863k3874k2v0p%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Disease identification in public health monitoring routinely employs analyte detection systems capable of discriminating mixtures
 of analytes, toxins, cells and/or bacteria in medical and/or environmental solutions. The development of smart sensors capable
 of discriminating such compounds has become increasingly important for clinical, environmental, and health applications. While
 some sensors have been fashioned for single analyte detection, methods and systems that facilitate rapid screening of multiple
 clinical components are needed, serving as triggers for potential epidemics or more specific confirmatory testing. In public
 health applications, there is like need for immediate collection of geocoded data tagged by disease identification characteristics,
 with c...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4939032</comments>
            <pubDate>Sat, 11 Jun 2011 06:37:12 +0100</pubDate>
            <guid isPermaLink="false">4939032</guid>        </item>
        <item>
            <title>Managing Repeat Digital Radiography Images—A Systematic Approach and Improvement</title>
            <link>http://www.medworm.com/index.php?rid=4896432&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F9475675338755323%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Repeat analysis is an important issue for improving image quality in the field of radiology. However, the required data for
 repeat analysis is not easy to collect, and the accuracy of the analysis results remains controversial. The main purpose of
 this study is to introduce a systematic approach and, with the assistance of information technology, to improve the accuracy
 of data collection methods and repeat analysis in a fully digital environment. Another purpose of the study was to reduce
 the human resources required to maintain image quality on a daily basis. The main participant in this study is the radiology
 department of a medical center in Taiwan. The hospital had previously implemented a Picture Archiving and Communication Systems
 (PACS), which was seamless...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4896432</comments>
            <pubDate>Tue, 31 May 2011 05:55:06 +0100</pubDate>
            <guid isPermaLink="false">4896432</guid>        </item>
        <item>
            <title>Efficient Health Information Management Systems Using Wireless Communications Technology to Aid Disaster Victims</title>
            <link>http://www.medworm.com/index.php?rid=4896433&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F1221u80628k8814m%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Japan is an earthquake-prone country, and disasters have a devastating effect on the lives of residents in stricken areas.
 Shelters can be constructed in order to secure the physical safety of residents, but there are no such provisions for the
 shock of experiencing a disaster, losing property and friends, and transitioning to an unfamiliar life in a shelter, all of
 which can lead to mental disorders. Caretakers such as medical doctors and nurses who are dispatched to disaster sites also
 face difficulties in the disruption of communications and transportation, thus a system able to secure efficient health management
 in those facilities is also required. This paper proposes a health information management system that utilizes mobile phone
 cameras and mark-sensing c...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4896433</comments>
            <pubDate>Tue, 31 May 2011 05:55:05 +0100</pubDate>
            <guid isPermaLink="false">4896433</guid>        </item>
        <item>
            <title>Early Warning System for Financially Distressed Hospitals Via Data Mining Application</title>
            <link>http://www.medworm.com/index.php?rid=4896434&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fj5325u73l4450257%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The aim of this study is to develop a Financial Early Warning System (FEWS) for hospitals by using data mining. A data mining
 method, Chi-Square Automatic Interaction Detector (CHAID) decision tree algorithm, was used in the study for financial profiling
 and developing FEWS. The study was conducted in Turkish Ministry of Health’s public hospitals which were in financial distress
 and in need of urgent solutions for financial issues. 839 hospitals were covered and financial data of the year 2008 was obtained
 from Ministry of Health. As a result of the study, it was determined that 28 hospitals (3.34%) had good financial performance,
 and 811 hospitals (96.66%) had poor financial performance. According to FEWS, the covered hospitals were categorized into
 11 differen...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4896434</comments>
            <pubDate>Mon, 30 May 2011 16:57:04 +0100</pubDate>
            <guid isPermaLink="false">4896434</guid>        </item>
        <item>
            <title>A Remote Patient Monitoring System for Congestive Heart Failure</title>
            <link>http://www.medworm.com/index.php?rid=4896435&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F7134028h5242u881%2F</link>
            <description>This study shows that CHF patients monitored
 by WANDA are less likely to have readings fall outside a healthy range. In addition, WANDA provides a useful feedback system
 for regulating readings of CHF patients.
 
 
	Content Type Journal ArticlePages 1-15DOI 10.1007/s10916-011-9733-yAuthors
		Myung-kyung Suh, Computer Science Department, University of California, Los Angeles, Los Angeles, CA, USAChien-An Chen, Electrical Engineering Department, University of California, Los Angeles, Los Angeles, CA, USAJonathan Woodbridge, Computer Science Department, University of California, Los Angeles, Los Angeles, CA, USAMichael Kai Tu, Biomedical Engineering IDP, University of California, Los Angeles, Los Angeles, CA, USAJung In Kim, Department of Biostatistics, University of North Carolina, Chapel ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4896435</comments>
            <pubDate>Tue, 24 May 2011 16:03:09 +0100</pubDate>
            <guid isPermaLink="false">4896435</guid>        </item>
        <item>
            <title>Application of Attribute Weighting Method Based on Clustering Centers to Discrimination of Linearly Non-Separable Medical Datasets</title>
            <link>http://www.medworm.com/index.php?rid=4896436&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fn423450311273867%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, attribute weighting method based on the cluster centers with aim of increasing the discrimination between classes
 has been proposed and applied to nonlinear separable datasets including two medical datasets (mammographic mass dataset and
 bupa liver disorders dataset) and 2-D spiral dataset. The goals of this method are to gather the data points near to cluster
 center all together to transform from nonlinear separable datasets to linear separable dataset. As clustering algorithm, k-means
 clustering, fuzzy c-means clustering, and subtractive clustering have been used. The proposed attribute weighting methods
 are k-means clustering based attribute weighting (KMCBAW), fuzzy c-means clustering based attribute weighting (FCMCBAW), and
 subtractive clusteri...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4896436</comments>
            <pubDate>Tue, 24 May 2011 16:03:07 +0100</pubDate>
            <guid isPermaLink="false">4896436</guid>        </item>
        <item>
            <title>A Low-cost Reader for Automatically Collecting Vital Signs in Hospitals</title>
            <link>http://www.medworm.com/index.php?rid=4896437&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fg23g37x8m15t6274%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Nowadays, the use of medical sensors with embedded communication modules provides accurate number reading and automatic recording.
 However, such readers are usually more expensive than similar devices without an embedded communication module. Further, different
 vendors define proprietary communication protocols and data formats for their own medical sensors. Due to the twin issues
 of high cost and diversity of standards, the automatic collection of patients’ vital signs is not common in hospitals, meaning
 that medical staff need to periodically collect all patients’ vital signs. This may cause further problems in caring for patients.
 We propose a low-cost reader using a cheap web camera to automatically read vital sign monitors in hospitals. The reader uses
 a ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4896437</comments>
            <pubDate>Mon, 23 May 2011 17:03:07 +0100</pubDate>
            <guid isPermaLink="false">4896437</guid>        </item>
        <item>
            <title>Editorial for Special Issue: ACM IHI 2010 Best Papers</title>
            <link>http://www.medworm.com/index.php?rid=4896438&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F003xq6pw77g27r4w%2F</link>
            <description>Content Type Journal ArticlePages 1-2DOI 10.1007/s10916-011-9736-8Authors
		Henrique Andrade, Goldman Sachs, New York, NY, USANeil Smalheiser, Department of Psychiatry, University of Illinois at Chicago College of Medicine, 1601 West Taylor Street, Chicago, IL 60612, USA
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4896438</comments>
            <pubDate>Mon, 23 May 2011 17:03:04 +0100</pubDate>
            <guid isPermaLink="false">4896438</guid>        </item>
        <item>
            <title>Toward Effective Vaccine Deployment: A Systematic Study</title>
            <link>http://www.medworm.com/index.php?rid=4896439&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ffx5612776772wvl1%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Vaccination is a commonly-used epidemic control strategy based on direct antiviral immunization and indirect reduction of
 virus transmissibility. There exist three factors related to the efficacy of vaccine deployment; they are: (1) vaccine coverage,
 (2) releasing time, and (3) deployment method. Yet, the exact impacts of these factors still remain to be systematically studied.
 In our work, we examine the effectiveness of vaccination-based epidemic control in adjusting the composition of susceptible
 and infectious individuals (referred to as composite structure) in a host population. We develop a modified compartmental
 infection model for characterizing virus spreading dynamics in several age-specific host populations (one host population
 for each age group). We c...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4896439</comments>
            <pubDate>Mon, 23 May 2011 17:03:00 +0100</pubDate>
            <guid isPermaLink="false">4896439</guid>        </item>
        <item>
            <title>Strong Authentication Scheme for Telecare Medicine Information Systems</title>
            <link>http://www.medworm.com/index.php?rid=4855080&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fj36404q46311p300%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The telecare medicine information system enables or supports health-care delivery services. A secure authentication scheme
 will thus be needed to safeguard data integrity, confidentiality, and availability. In this paper, we propose a generic construction
 of smart-card-based password authentication protocol and prove its security. The proposed framework is superior to previous
 schemes in three following aspects : (1) our scheme is a true two-factor authentication scheme. (2) our scheme can yield a
 forward secure two-factor authentication scheme with user anonymity when appropriately instantiated. (3) our scheme utilizes
 each user’s unique identity to accomplish the user authentication and does not need to store or verify others’s certificates.
 And yet, our sch...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4855080</comments>
            <pubDate>Wed, 18 May 2011 18:16:51 +0100</pubDate>
            <guid isPermaLink="false">4855080</guid>        </item>
        <item>
            <title>Support Vector Machine Ensembles for Intelligent Diagnosis of Valvular Heart Disease</title>
            <link>http://www.medworm.com/index.php?rid=4855081&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F6523h92m70035w51%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this work, we investigate the use of ensemble learning for improving Support vector machines (SVM) classifier which is
 one of the important direction in the current research of machine learning, and thereinto bagging, boosting and random subspace
 are three powerful and popular representatives. Researchers have so far shown that the ensemble methods are quite well in
 many practical classification problems. However, for valvular heart disease detection, there are almost no studies investigating
 their feasibilities. Thus, in this study we evaluate the performance of three popular ensemble methods for diagnosing of the
 valvular heart disorders. To evaluate the performance of investigated ensemble methodology, a comparative study is realized
 by using a data set cont...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4855081</comments>
            <pubDate>Wed, 18 May 2011 06:15:20 +0100</pubDate>
            <guid isPermaLink="false">4855081</guid>        </item>
        <item>
            <title>A Data-Mining Framework for Transnational Healthcare System</title>
            <link>http://www.medworm.com/index.php?rid=4855082&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F346u8482274vt2m5%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Medical resources are important and necessary in health care. Recently, the development of methods for improving the efficiency
 of medical resource utilization is an emerging problem. Despite evidence supporting the use of order sets in hospitals, only
 a small number of health information systems have successfully equipped physicians with analysis of complex order sequences
 from clinical pathway and clinical guideline. This paper presents a data-mining framework for transnational healthcare system
 to find alternative practices, including transfusion, pre-admission tests, and evaluation of liver diseases. However, individual
 countries vary with respect to geographical location, living habits, and culture, so disease risks and treatment methods also
 vary across coun...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4855082</comments>
            <pubDate>Tue, 17 May 2011 05:56:06 +0100</pubDate>
            <guid isPermaLink="false">4855082</guid>        </item>
        <item>
            <title>Automated Diagnosis of Alzheimer Disease using the Scale-Invariant Feature Transforms in Magnetic Resonance Images</title>
            <link>http://www.medworm.com/index.php?rid=4832858&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk9l11447137w7126%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper we present an automated method for diagnosing Alzheimer disease (AD) from brain MR images. The approach uses
 the scale-invariant feature transforms (SIFT) extracted from different slices in MR images for both healthy subjects and subjects
 with Alzheimer disease. These features are then clustered in a group of features which they can be used to transform a full
 3-dimensional image from a subject to a histogram of these features. A feature selection strategy was used to select those
 bins from these histograms that contribute most in classifying the two groups. This was done by ranking the features using
 the Fisher’s discriminant ratio and a feature subset selection strategy using the genetic algorithm. These selected bins of
 the histograms are then u...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4832858</comments>
            <pubDate>Mon, 16 May 2011 15:48:39 +0100</pubDate>
            <guid isPermaLink="false">4832858</guid>        </item>
        <item>
            <title>Image Analysis Tools for Evaluation of Microscopic Views of Immunohistochemically Stained Specimen in Medical Research–a Review</title>
            <link>http://www.medworm.com/index.php?rid=4832859&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fj125r25863550175%2F</link>
            <description>This study concludes that there is good scope for development of freely available software for staining intensity
 quantification, which a medical researcher could easily use without requiring high level computer skills.
 
 
	Content Type Journal ArticlePages 1-11DOI 10.1007/s10916-011-9737-7Authors
		Keerthana Prasad, Manipal Centre for Information Science, Manipal University, Manipal, IndiaGopalakrishna K. Prabhu, Department of Biomedical Engineering, Manipal Institute of Technology, Manipal, India
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4832859</comments>
            <pubDate>Mon, 16 May 2011 15:48:38 +0100</pubDate>
            <guid isPermaLink="false">4832859</guid>        </item>
        <item>
            <title>Enhanced Cancer Recognition System Based on Random Forests Feature Elimination Algorithm</title>
            <link>http://www.medworm.com/index.php?rid=4832860&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F30241r3682127725%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Accurate classifiers are vital to design precise computer aided diagnosis (CADx) systems. Classification performances of machine
 learning algorithms are sensitive to the characteristics of data. In this aspect, determining the relevant and discriminative
 features is a key step to improve performance of CADx. There are various feature extraction methods in the literature. However,
 there is no universal variable selection algorithm that performs well in every data analysis scheme. Random Forests (RF),
 an ensemble of trees, is used in classification studies successfully. The success of RF algorithm makes it eligible to be
 used as kernel of a wrapper feature subset evaluator. We used best first search RF wrapper algorithm to select optimal features
 of four medical dat...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4832860</comments>
            <pubDate>Thu, 12 May 2011 16:43:05 +0100</pubDate>
            <guid isPermaLink="false">4832860</guid>        </item>
        <item>
            <title>Using Multiple Array Sensing and Non-Invasive Data Capture As a Model For Polypharmacy Error Detection</title>
            <link>http://www.medworm.com/index.php?rid=4832861&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ft1651165980h4060%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Developing standards and technology models that will facilitate e-prescribing is one of the key action items in the federal
 government’s plan to build a nationwide electronic health information infrastructure in the United States. E-prescribing has
 the potential to drive change in the healthcare industry, but the unavailability of diagnostic testing and detection equipment
 outside of clinical settings makes expanded collection and use of information problematic. Most solutions are provider-based,
 and limited by organization-wide startup &amp; maintenance costs, and risk-averse data distribution policies. Objective, consumer-provided
 standardized data can facilitate the use of distributed information networks in polypharmacy detection and avoidance. In this
 technolog...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4832861</comments>
            <pubDate>Thu, 12 May 2011 16:43:02 +0100</pubDate>
            <guid isPermaLink="false">4832861</guid>        </item>
        <item>
            <title>Meeting US Health Reform Mandates with Computerized Health Services Utilization Matching and Optimization</title>
            <link>http://www.medworm.com/index.php?rid=4822883&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F027g107nj32x265r%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Recent US health reform initiatives now require extensive consumer involvement through healthcare purchasing exchanges. The
 opportunity exists to monitor and plan for peak service needs in such an environment. The use of computational systems and
 methods for health services planning and utilization review have traditionally been employed in post-facto or financial analysis
 settings. In this technology review we propose one innovative model and attribute-based method that collects and analyzes
 indicators of consumers or patients within a defined network, accepts sensor data about individuals, and presents a set of
 health care service options at least partially based on the acceptance of indications of member attributes as well as sensor
 data about network actors.
 ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4822883</comments>
            <pubDate>Wed, 11 May 2011 15:46:47 +0100</pubDate>
            <guid isPermaLink="false">4822883</guid>        </item>
        <item>
            <title>Designing a Personal Health Application for Older Adults to Manage Medications: A Comprehensive Case Study</title>
            <link>http://www.medworm.com/index.php?rid=4822882&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fg5n7264060x67g41%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Older adults with multiple chronic conditions often go through care transitions where they move between care facilities or
 providers during their treatment. These transitions are often uncoordinated and can imperil patients by omitted, duplicative,
 or contradictory care plans. Older adults sometimes feel overwhelmed with the new responsibility of coordinating the care
 plan with providers and changing their medication regimes. In response, we developed a Lesser General Public License (LGPL)
 open source, web-based Personal Health Application (PHA) using an iterative participatory design process that provided older
 adults and their caregivers the ability to manage their personal health information. In this paper, we document the PHA design
 process from low-fidelity p...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4822882</comments>
            <pubDate>Wed, 11 May 2011 15:46:47 +0100</pubDate>
            <guid isPermaLink="false">4822882</guid>        </item>
        <item>
            <title>Integrating Human Genome Database into Electronic Health Record with Sequence Alignment and Compression Mechanism</title>
            <link>http://www.medworm.com/index.php?rid=4822884&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fw53361p431347721%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;With the initial completion of Human Genome Project, the post-genomic era is coming. Although the genome map of human has
 been decoded, the roles that each segment of sequences acts are not totally discovered. On the other hand, with the rapid
 expansion of sequence information, the issues of data compilation and data storage are increasingly important. In this paper,
 a “Human genome database system” is designed and implemented in National Taiwan University Hospital (NTUH). By accessing this system, the doctors can store
 and manage the experimental sequence data. The achievement of this system is that it integrates the modules of sequence alignment
 and data compression. By embedding with the NCBI alignment program—blastall [1], it automatically aligns the uplo...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4822884</comments>
            <pubDate>Wed, 11 May 2011 06:03:22 +0100</pubDate>
            <guid isPermaLink="false">4822884</guid>        </item>
        <item>
            <title>Comparison of Artificial Neural Networks with Logistic Regression for Detection of Obesity</title>
            <link>http://www.medworm.com/index.php?rid=4814810&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fd26546n56408685g%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Obesity is a common problem in nutrition, both in the developed and developing countries. The aim of this study was to classify
 obesity by artificial neural networks and logistic regression. This cross-sectional study comprised of 414 healthy military
 personnel in southern Iran. All subjects completed questionnaires on their socio-economic status and their anthropometric
 measures were measured by a trained nurse. Classification of obesity was done by artificial neural networks and logistic regression.
 The mean age±SD of participants was 34.4 ± 7.5&amp;nbsp;years. A total of 187 (45.2%) were obese. In regard to logistic regression
 and neural networks the respective values were 80.2% and 81.2% when correctly classified, 80.2 and 79.7 for sensitivity and
 81.9 and 8...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4814810</comments>
            <pubDate>Tue, 10 May 2011 06:04:45 +0100</pubDate>
            <guid isPermaLink="false">4814810</guid>        </item>
        <item>
            <title>A Reliable User Authentication and Key Agreement Scheme for Web-Based Hospital-Acquired Infection Surveillance Information System</title>
            <link>http://www.medworm.com/index.php?rid=4814809&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fw842052517572664%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;With the rapid development of the Internet, both digitization and electronic orientation are required on various applications
 in the daily life. For hospital-acquired infection control, a Web-based Hospital-acquired Infection Surveillance System was
 implemented. Clinical data from different hospitals and systems were collected and analyzed. The hospital-acquired infection
 screening rules in this system utilized this information to detect different patterns of defined hospital-acquired infection.
 Moreover, these data were integrated into the user interface of a signal entry point to assist physicians and healthcare providers
 in making decisions. Based on Service-Oriented Architecture, web-service techniques which were suitable for integrating heterogeneous
 platform...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4814809</comments>
            <pubDate>Tue, 10 May 2011 06:04:45 +0100</pubDate>
            <guid isPermaLink="false">4814809</guid>        </item>
        <item>
            <title>A Telematic Tool to Predict the Risk of Colorectal Cancer in White Men and Women: ColoRectal Cancer Alert (CRCA)</title>
            <link>http://www.medworm.com/index.php?rid=4807012&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F8w3v186qgk222p43%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Colorectal cancer is an important disease because of its severity and also since it affects much of the population. Nothing
 helps patients and doctors to determine the risk of suffering from colorectal cancer during their lives, except for medical
 tests such as the colonoscopy. There have been several studies and research to try to estimate the relative risks of colorectal
 cancer based on various factors and the applications to calculate the risk of this cancer, but these are not within everyone’s
 research. This project offers a multilingual Web tool, called ColoRectal Cancer Alert (CRCA), to calculate the risk of colorectal
 cancer for life in men and women of white race. With this application, doctors can carry out research in a few minutes to
 explore this risk...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4807012</comments>
            <pubDate>Thu, 05 May 2011 15:45:41 +0100</pubDate>
            <guid isPermaLink="false">4807012</guid>        </item>
        <item>
            <title>Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations</title>
            <link>http://www.medworm.com/index.php?rid=4790905&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fwt133683n3t7mp46%2F</link>
            <description>We present the usage data of Lifelines2 (Wang et al. 2008), our information visualization system, and user comments, both collected over eight different medical case studies. We generalize
 our experience into a visual analytics process model for multiple EHRs. Based on our analysis, we make seven design recommendations
 to information visualization tools to explore EHR systems.
 
 
	Content Type Journal ArticlePages 1-18DOI 10.1007/s10916-011-9718-xAuthors
		Taowei David Wang, Department of Computer Science &amp; Human-Computer Interaction Lab, University of Maryland, College Park, MD 20742, USAKrist Wongsuphasawat, Department of Computer Science &amp; Human-Computer Interaction Lab, University of Maryland, College Park, MD 20742, USACatherine Plaisant, Department of Computer Science &amp; Human-Comp...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790905</comments>
            <pubDate>Tue, 03 May 2011 16:05:37 +0100</pubDate>
            <guid isPermaLink="false">4790905</guid>        </item>
        <item>
            <title>Advanced Nurse-Patient Communication System</title>
            <link>http://www.medworm.com/index.php?rid=4790906&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm07665l53h334667%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Effective communication is the most important part of any healthcare organization. For many years, hospital nurse call solutions
 had been stand-alone systems with occasional integration to pocket paging for outputting patient call alerts to mobile staff.
 In the late 1990’s, technology enabled in-building wireless phones to supplement or replace paging systems as a means of not
 only sending alerts, but also enabling voice communication between mobile staff and patients. Today’s nurse call market requires
 integration of additional information from location and ADT (admit, discharge, transfer) systems into what have traditionally
 been nurse call applications. This system information is required not only at the nursing station, pagers, and phones, but
 also at PC...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790906</comments>
            <pubDate>Tue, 03 May 2011 16:05:36 +0100</pubDate>
            <guid isPermaLink="false">4790906</guid>        </item>
        <item>
            <title>Integrating Computerized Primitives and Annotated Video Patterns: A Proposed Model for Autism Diagnosis and Research</title>
            <link>http://www.medworm.com/index.php?rid=4790907&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F12838r4kk0824831%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The use of computerized, digital video as a means for interactive data capture has been suggested as an alternative to direct
 observation of behavior. The appeal of observational measures is that they are presumed to be less vulnerable to potential
 biases from informants, such as parents or teachers, and permit more individualized assessment that may be lost with the use
 of rating scales. As a potential tool for long-term, automated observation and analysis. In this technology review we propose
 one promising model for the integration of computerized primitives recognition and annotated video patterns as an approach
 to large-scale autism diagnosis and research.
 
 
	Content Type Journal ArticlePages 1-9DOI 10.1007/s10916-011-9666-5Authors
		Robert Jameson, VMI, Lexi...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790907</comments>
            <pubDate>Tue, 03 May 2011 05:53:09 +0100</pubDate>
            <guid isPermaLink="false">4790907</guid>        </item>
        <item>
            <title>Data Capture of Transdermal Glucose Monitoring through Computerized Appliance-Based Virtual Remote Sensing and Alert Systems</title>
            <link>http://www.medworm.com/index.php?rid=4790909&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fy816r55678554221%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Monitoring of blood glucose levels is important to persons with diabetes or pre-diabetic, abnormal glucose indications. Such
 individuals must determine when insulin is needed to reduce glucose levels in their bodies, or when additional glucose must
 be administered to raise levels. A conventional technique used by many diabetics to personally monitor their glucose level
 includes the periodic drawing of blood, the application of blood to a test strip, and determination of blood glucose level
 using calorimetric, electrochemical, or photometric detection. This technique does not permit continuous or automatic monitoring
 of levels in the body, but typically must be performed manually, and on a periodic basis. Unfortunately, checking consistency
 varies widely among indi...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790909</comments>
            <pubDate>Tue, 03 May 2011 05:53:08 +0100</pubDate>
            <guid isPermaLink="false">4790909</guid>        </item>
        <item>
            <title>Data Mining in Healthcare and Biomedicine: A Survey of the Literature</title>
            <link>http://www.medworm.com/index.php?rid=4790908&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F025245430v756977%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;As a new concept that emerged in the middle of 1990’s, data mining can help researchers gain both novel and deep insights
 and can facilitate unprecedented understanding of large biomedical datasets. Data mining can uncover new biomedical and healthcare
 knowledge for clinical and administrative decision making as well as generate scientific hypotheses from large experimental
 data, clinical databases, and/or biomedical literature. This review first introduces data mining in general (e.g., the background,
 definition, and process of data mining), discusses the major differences between statistics and data mining and then speaks
 to the uniqueness of data mining in the biomedical and healthcare fields. A brief summarization of various data mining algorithms
 used for c...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790908</comments>
            <pubDate>Tue, 03 May 2011 05:53:08 +0100</pubDate>
            <guid isPermaLink="false">4790908</guid>        </item>
        <item>
            <title>Support Vector Machine Based Diagnostic System for Breast Cancer Using Swarm Intelligence</title>
            <link>http://www.medworm.com/index.php?rid=4790911&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ffn554p25q8018223%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Breast cancer is becoming a leading cause of death among women in the whole world, meanwhile, it is confirmed that the early
 detection and accurate diagnosis of this disease can ensure a long survival of the patients. In this paper, a swarm intelligence
 technique based support vector machine classifier (PSO_SVM) is proposed for breast cancer diagnosis. In the proposed PSO-SVM,
 the issue of model selection and feature selection in SVM is simultaneously solved under particle swarm (PSO optimization)
 framework. A weighted function is adopted to design the objective function of PSO, which takes into account the average accuracy
 rates of SVM (ACC), the number of support vectors (SVs) and the selected features simultaneously. Furthermore, time varying
 acceleration coeff...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790911</comments>
            <pubDate>Tue, 03 May 2011 05:53:07 +0100</pubDate>
            <guid isPermaLink="false">4790911</guid>        </item>
        <item>
            <title>Federated Querying Architecture with Clinical &amp; Translational Health IT Application</title>
            <link>http://www.medworm.com/index.php?rid=4790910&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F751406wl41447448%2F</link>
            <description>We present a software architecture that federates data from multiple heterogeneous health informatics data sources owned by
 multiple organizations. The architecture builds upon state-of-the-art open-source Java and XML frameworks in innovative ways.
 It consists of (a) federated query engine, which manages federated queries and result set aggregation via a patient identification
 service; and (b) data source facades, which translate the physical data models into a common model on-the-fly and handle large
 result set streaming. System modules are connected via reusable Apache Camel integration routes and deployed to an OSGi enterprise
 service bus. We present an application of our architecture that allows users to construct queries via the i2b2 web front-end,
 and federates patient data fr...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790910</comments>
            <pubDate>Tue, 03 May 2011 05:53:07 +0100</pubDate>
            <guid isPermaLink="false">4790910</guid>        </item>
        <item>
            <title>Integration of RFID and Web Service for Assisted Living</title>
            <link>http://www.medworm.com/index.php?rid=4790914&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm8752315u4280336%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The number of people over 65&amp;nbsp;years old throughout most stable and prosperous countries in the world is increasing. Availability
 of their care in their own homes is imperative because of the economic reasons and their choices where to live (World Health
 Organization, Definition of an older or elderly person. http://www.who.int/healthinfo/survey/ageingdefnolder/en/; EQUIP—European Framework for Qualifications in Home Care Services for Older People, http://www.equip-project.com; Salonen, 2009). “Recent advancement in wireless communications and electronics has enabled the development of low-cost sensor networks.
 The sensor networks can be utilized in various application areas.” (Akyildiz, et al. 2002) These two statements show that there is a great promise in...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790914</comments>
            <pubDate>Tue, 03 May 2011 05:53:06 +0100</pubDate>
            <guid isPermaLink="false">4790914</guid>        </item>
        <item>
            <title>A New Watermarking System Based on Discrete Cosine Transform (DCT) in Color Biometric Images</title>
            <link>http://www.medworm.com/index.php?rid=4790913&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm6g126163588ghu5%2F</link>
            <description>In this study, DCT methods in order to embed watermark data into face images, without
 corrupting their features.
 
 
	Content Type Journal ArticlePages 1-7DOI 10.1007/s10916-011-9705-2Authors
		Sengul Dogan, Department of Electronic and Computer Science, Firat University, 23119 Elazig, TurkeyTurker Tuncer, Department of Electronic and Computer Science, Firat University, 23119 Elazig, TurkeyEngin Avci, Department of Electronic and Computer Science, Firat University, 23119 Elazig, TurkeyArif Gulten, Department of Electrical and Electronic Engineering, Firat University, 23119 Elazig, Turkey
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-5598 (Source: Journal of Medical Systems)</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790913</comments>
            <pubDate>Tue, 03 May 2011 05:53:06 +0100</pubDate>
            <guid isPermaLink="false">4790913</guid>        </item>
        <item>
            <title>SeDeLo: Using Semantics and Description Logics to Support Aided Clinical Diagnosis</title>
            <link>http://www.medworm.com/index.php?rid=4790912&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fe6252tx71062n706%2F</link>
            <description>The objective of this paper is to propose a normalized design that solves some of the problems which have been
 detected by authors in previous tools. The authors bring together two different technologies to develop a new clinical decision
 support system: description logics aimed at developing inference systems to improve decision support for the prevention, treatment
 and management of illness and semantic technologies. Because of its new design, the system is capable of obtaining improved
 diagnostics compared with previous efforts. However, this evaluation is more focused in the computational performance, giving
 as result that description logics is a good solution with small data sets. In this paper, we provide a well-structured ontology
 for automated diagnosis in the medical field a...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4790912</comments>
            <pubDate>Tue, 03 May 2011 05:53:06 +0100</pubDate>
            <guid isPermaLink="false">4790912</guid>        </item>
        <item>
            <title>An Efficient Key-Management Scheme for Hierarchical Access Control in E-Medicine System</title>
            <link>http://www.medworm.com/index.php?rid=4783501&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fa12452hj14417m04%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In e-medicine system, the sharing of patients’ medical histories scattered among medical institutions through the Internet
 is highly desirable. The most immediate cryptographic need certainly is an efficient key management method to solve dynamic
 access problems in a user hierarchy. In this paper, we propose a practical solution for dynamic access problem in a user hierarchy
 based on hybrid cryptosystems. When compared with Nikooghadam et al.’s scheme proposed most recently, the time complexity
 and the required storage space is reduced significantly. Moreover, it provides provable security, and is easy to implement.
 Therefore, our scheme is more suitable for e-medicine system.
 
 
	Content Type Journal ArticlePages 1-13DOI 10.1007/s10916-011-9700-7Authors
		Shu...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4783501</comments>
            <pubDate>Wed, 27 Apr 2011 16:03:38 +0100</pubDate>
            <guid isPermaLink="false">4783501</guid>        </item>
        <item>
            <title>Deployment of Secure Mobile Agents for Medical Information Systems</title>
            <link>http://www.medworm.com/index.php?rid=4783502&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fa16639w84170m318%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Changes in global population and demography, and advances in medicine have led to elderly population growth, creating aging
 societies from which elderly medical care has evolved. In addition, with the elderly susceptible to chronic diseases, this
 together with the changing lifestyles of young adults have not only pushed up patient numbers of chronic diseases, but also
 effected into younger patients. These problems have become the major focus for the health care industry. In response to patient
 demand and the huge shortage of medical resources, we propose remote healthcare medical information systems that combine patient
 physiological data acquisition equipment with real-time health care analyses. Since remote health care systems are structured
 around the Internet,...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4783502</comments>
            <pubDate>Wed, 27 Apr 2011 16:03:37 +0100</pubDate>
            <guid isPermaLink="false">4783502</guid>        </item>
        <item>
            <title>Barriers to Physical Activity: A Study of Self-Revelation in an Online Community</title>
            <link>http://www.medworm.com/index.php?rid=4783504&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fln7178206n8789l8%2F</link>
            <description>This article describes the top barriers that emerged from a qualitative analysis of message
 board traffic from a three-month healthy lifestyle intervention that promoted physical activity and healthy eating. The findings
 further elaborate known barriers to physical activity—two of which are not reported as key barriers in prior research—and
 illustrate the value of a grounded approach to studying health and fitness behaviors. Based on our analysis, we identify design
 considerations for technologies that encourage and support physical activity. Understanding the needs of a population is a
 critical step in the design process, and this paper offers unique insights for those working in this growing domain.
 
 
	Content Type Journal ArticlePages 1-18DOI 10.1007/s10916-011-9721-2Authors
...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4783504</comments>
            <pubDate>Wed, 27 Apr 2011 10:54:10 +0100</pubDate>
            <guid isPermaLink="false">4783504</guid>        </item>
        <item>
            <title>Quantitative Grading Using Grey Relational Analysis on Ultrasonographic Images of a Fatty Liver</title>
            <link>http://www.medworm.com/index.php?rid=4783503&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fv2u48n8832267126%2F</link>
            <description>In this study,
 we also evaluated AST and ALT liver enzymes for fatty liver having different grades. A high correlation between enzymes and
 Grey Relational Grades were found. The Receiver Operating Characteristic (ROC) curves were obtained and yielded satisfactory
 classification results using sensitivity, specificity and area under the curve for computing graduation and distinguishing
 fatty livers from healthy livers. With the proposed method based on Grey Relational Analysis, not only misdiagnosis caused
 by subjective differences in clinical evaluation will be reduced, but also the early diagnosis fatty liver and quantitative
 assessment of its degree will be achieved.
 
 
	Content Type Journal ArticlePages 1-8DOI 10.1007/s10916-011-9724-zAuthors
		Semra İçer, Engineering Faculty, B...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4783503</comments>
            <pubDate>Wed, 27 Apr 2011 10:54:10 +0100</pubDate>
            <guid isPermaLink="false">4783503</guid>        </item>
        <item>
            <title>Factors Associated with Health Information Exchange System Usage in a Safety-Net Ambulatory Care Clinic Setting</title>
            <link>http://www.medworm.com/index.php?rid=4783505&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fuh713j78q00g060x%2F</link>
            <description>This study sought to examine the factors
 associated with usage of an operational HIE system during ambulatory care visits to safety-net clinics. Overall the HIE system
 was accessed for 21% of encounters. However, system access took on two distinct forms. In general, usage was more likely for
 patients with recent emergency department visits and chronic conditions. This study indicates the organizational commitment
 to engage in HIE does not necessarily mean that the information systems will be always used. In addition, system usage will
 take on various forms for different reasons. These results reveal considerations for the development, operation and evaluation
 of HIE efforts.
 
 
	Content Type Journal ArticlePages 1-7DOI 10.1007/s10916-011-9712-3Authors
		Joshua R. Vest, Jiann-Ping Hs...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4783505</comments>
            <pubDate>Wed, 27 Apr 2011 05:45:25 +0100</pubDate>
            <guid isPermaLink="false">4783505</guid>        </item>
        <item>
            <title>Comparison of Several Texture Features for Tumor Detection in CE Images</title>
            <link>http://www.medworm.com/index.php?rid=4768907&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F614818wl82984w1p%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Capsule endoscopy (CE) has been widely used as a new technology to diagnose gastrointestinal tract diseases, especially for
 small intestine. However, the large number of images in each test is a great burden for physicians. As such, computer aided
 detection (CAD) scheme is needed to relieve the workload of clinicians. In this paper, automatic differentiation of tumor
 CE image and normal CE image is investigated through comparative textural feature analysis. Four different color textures
 are studied in this work, i.e., texture spectrum histogram, color wavelet covariance, rotation invariant uniform local binary
 pattern and curvelet based local binary pattern. With support vector machine being the classifier, the discrimination ability
 of these four different color ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4768907</comments>
            <pubDate>Tue, 26 Apr 2011 15:46:25 +0100</pubDate>
            <guid isPermaLink="false">4768907</guid>        </item>
        <item>
            <title>Computer-Based Identification of Type 2 Diabetic Subjects with and Without Neuropathy Using Dynamic Planter Pressure and Principal Component Analysis</title>
            <link>http://www.medworm.com/index.php?rid=4768906&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fe00v2rx1366010r8%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Diabetes is a chronic disease that is characterized by an increased blood glucose level due to insulin resistance. Type 2
 diabetes is common in middle aged and old people. In this work, we present a technique to analyze dynamic foot pressures images
 and classify them into normal, diabetes type 2 with and without neuropathy classes. Plantar pressure images were obtained
 using the F-Scan (Tekscan, USA) in-shoe measurement system. We used Principal Component Analysis (PCA) and extracted the eigenvalues
 from different regions of the foot image. The features extracted from region 1 of the foot pressure image, which were found
 to be clinically significant, were fed into the Fuzzy classifier (Sugeno model) for automatic classification. Our results
 show that the proposed ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4768906</comments>
            <pubDate>Tue, 26 Apr 2011 15:46:25 +0100</pubDate>
            <guid isPermaLink="false">4768906</guid>        </item>
        <item>
            <title>Using Information Technology for an Improved Pharmaceutical Care Delivery in Developing Countries. Study Case: Benin</title>
            <link>http://www.medworm.com/index.php?rid=4768908&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F660372430274v33m%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;One of the problems in health care in developing countries is the bad accessibility of medicine in pharmacies for patients.
 Since this is mainly due to a lack of organization and information, it should be possible to improve the situation by introducing
 information and communication technology. However, for several reasons, standard solutions are not applicable here. In this
 paper, we describe a case study in Benin, a West African developing country. We identify the problem and the existing obstacles
 for applying standard ECommerce solutions. We develop an adapted system approach and describe a practical test which has shown
 that the approach has the potential of actually improving the pharmaceutical care delivery. Finally, we consider the security
 aspects of the ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4768908</comments>
            <pubDate>Mon, 25 Apr 2011 16:46:34 +0100</pubDate>
            <guid isPermaLink="false">4768908</guid>        </item>
        <item>
            <title>Intelligent Monitoring System for Intensive Care Units</title>
            <link>http://www.medworm.com/index.php?rid=4745359&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fb5024hll45342r57%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;We address in the present paper a medical monitoring system designed as a multi-agent based approach. Our system includes
 mainly numerous agents that act as correlated multi-agent sub-systems at the three layers of the whole monitoring infrastructure,
 to avoid non informative alarms and send effective alarms at time. The intelligence in the proposed monitoring system is provided
 by the use of time series technology. In fact, the capability of continuous learning of time series from the physiological
 variables allows the design of a system that monitors patients in real-time. Such system is a contrast to the classical threshold-based
 monitoring system actually present in the Intensive Care Units (ICUs) which causes a huge number of irrelevant alarms.
 
 
	Content Ty...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4745359</comments>
            <pubDate>Wed, 20 Apr 2011 06:08:29 +0100</pubDate>
            <guid isPermaLink="false">4745359</guid>        </item>
        <item>
            <title>Data Mining Techniques for Assisting the Diagnosis of Pressure Ulcer Development in Surgical Patients</title>
            <link>http://www.medworm.com/index.php?rid=4745360&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F911v5r340h116211%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Pressure ulcer is a serious problem during patient care processes. The high risk factors in the development of pressure ulcer
 remain unclear during long surgery. Moreover, past preventive policies are hard to implement in a busy operation room. The
 objective of this study is to use data mining techniques to construct the prediction model for pressure ulcers. Four data
 mining techniques, namely, Mahalanobis Taguchi System (MTS), Support Vector Machines (SVMs), decision tree (DT), and logistic
 regression (LR), are used to select the important attributes from the data to predict the incidence of pressure ulcers. Measurements
 of sensitivity, specificity, F1, and g-means were used to compare the performance of four classifiers on the pressure ulcer data set. The results...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4745360</comments>
            <pubDate>Tue, 19 Apr 2011 07:18:44 +0100</pubDate>
            <guid isPermaLink="false">4745360</guid>        </item>
        <item>
            <title>Artificial Intelligence Models for Predicting Iron Deficiency Anemia and Iron Serum Level Based on Accessible Laboratory Data</title>
            <link>http://www.medworm.com/index.php?rid=4745362&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F814j147h78627280%2F</link>
            <description>In this study, based on four accessible laboratory data (MCV, MCH, MCHC, Hb/RBC),
 we developed an artificial neural network (ANN) and an adaptive neuro-fuzzy inference system (ANFIS) to diagnose the IDA and
 to predict serum iron level. Our results represent that the neural network analysis is superior to ANFIS and logistic regression
 models in diagnosing IDA. Moreover, the results show that the ANN is likely to provide an accurate test for predicting serum
 iron levels with high accuracy and acceptable precision.
 
 
	Content Type Journal ArticlePages 1-5DOI 10.1007/s10916-011-9668-3Authors
		Iman Azarkhish, Amirkabir University of Technology, Tehran, IranMohammad Reza Raoufy, Amirkabir University of Technology, Tehran, IranShahriar Gharibzadeh, Amirkabir University of Technology, Tehra...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4745362</comments>
            <pubDate>Tue, 19 Apr 2011 07:18:42 +0100</pubDate>
            <guid isPermaLink="false">4745362</guid>        </item>
        <item>
            <title>Performance Assessment of EMR Systems Based on Post-Relational Database</title>
            <link>http://www.medworm.com/index.php?rid=4745361&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fg1j0r172w5g73050%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Post-relational databases provide high performance and are currently widely used in American hospitals. As few hospital information
 systems (HIS) in either China or Japan are based on post-relational databases, here we introduce a new-generation electronic
 medical records (EMR) system called Hygeia, which was developed with the post-relational database Caché and the latest platform
 Ensemble. Utilizing the benefits of a post-relational database, Hygeia is equipped with an “integration” feature that allows
 all the system users to access data—with a fast response time—anywhere and at anytime. Performance tests of databases in EMR
 systems were implemented in both China and Japan. First, a comparison test was conducted between a post-relational database,
 Cach...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4745361</comments>
            <pubDate>Tue, 19 Apr 2011 07:18:42 +0100</pubDate>
            <guid isPermaLink="false">4745361</guid>        </item>
        <item>
            <title>Is Computerized Physician Order Entry Use Associated with a Decrease in Hospital Resource Utilization in Hospitals That Care for Children?</title>
            <link>http://www.medworm.com/index.php?rid=4745363&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp675v3n15437q882%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Despite large hospital costs for implementation and maintenance of Computerized Physician Order Entry (CPOE) for medication
 safety, little evidence exists to determine if predicted efficiency improvements translate into lower hospital resource utilization
 for inpatient pediatrics. The purpose of this study is to investigate the relationship between hospital CPOE use and resource
 utilization per case within children’s healthcare. The authors use a retrospective cross-sectional design with linear regression
 to assess relationships between hospital CPOE use and resource utilization per case. Despite large CPOE costs and financial
 barriers to adoption, we find that compared to those without CPOE, hospitals with CPOE did not have significantly lower cost
 per case. Be...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4745363</comments>
            <pubDate>Tue, 19 Apr 2011 07:18:40 +0100</pubDate>
            <guid isPermaLink="false">4745363</guid>        </item>
        <item>
            <title>A Non-Repudiated and Traceable Authorization System Based on Electronic Health Insurance Cards</title>
            <link>http://www.medworm.com/index.php?rid=4726719&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fr0m8hqgg04p037v3%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Since anamnesis management in health care is directly relative to patients’ privacy protection, how to resist malicious behaviors
 is an important issue in information security. In recent years, the developed electronic health insurance cards (eHIC) has
 been widely adopted as an identification certificate, which involves lots applications and provides convenience to both the
 patients and relative medical workers as well. There always existed some disputes and moral standards for these medical doctors
 who are to be confronted with these challenges. For example: The doctor discloses patient’s anamnesis without patient’s consent
 and anamnesis by the illegal access…etc. As required in E-Health, the current systems are almost offline system, which are
 not suitab...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4726719</comments>
            <pubDate>Fri, 15 Apr 2011 15:48:49 +0100</pubDate>
            <guid isPermaLink="false">4726719</guid>        </item>
        <item>
            <title>A New Approach for Concealed Information Identification Based on ERP Assessment</title>
            <link>http://www.medworm.com/index.php?rid=4726720&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fhr75h4w0m8123438%2F</link>
            <description>In this study, a new approach based on wavelet coefficients (WCs) and kernel learning algorithm is
 proposed to identify concealed information. Totally 16 subjects went through the designed CIT paradigm and the multichannel
 electroencephalogram (EEG) signals were recorded. Then, the high-dimensional WCs of ERP in delta, theta, alpha and beta rhythms
 were extracted. For the analysis of the data, kernel principle component analysis (KPCA) and a support vector machines (SVM)
 classifier are implemented. The results show that WCs features are significant differences between concealed information and
 irrelevant information (P &amp;lt; 0.05). The KPCA is able to effectively reduce feature dimensionalities and increase generalization performance of SVM.
 A high accuracy (93.6%) in recognizing ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4726720</comments>
            <pubDate>Fri, 15 Apr 2011 15:48:48 +0100</pubDate>
            <guid isPermaLink="false">4726720</guid>        </item>
        <item>
            <title>Lossless Compression of Threshold-Segmented Medical Images</title>
            <link>http://www.medworm.com/index.php?rid=4726722&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fr224p25028m86p25%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper introduces a new algorithm for losslessly compressing voxel-based 3D CT medical images. Firstly, medical data is
 segmented according to selected ranges of the Hounsfield scale. The data is then arranged into two data streams. The first
 stream identifies the positions of the remaining data after segmentation. This information is compressed by the JBIG standard.
 The second stream contains the exact data values and it is losslessly compressed by our algorithm. The efficiency of this
 approach has been evaluated by a prototype application. This approach represents an interesting alternative for the long-term
 storage of medical 2D and 3D images, and for applications in telemedicine. The compression method can be used either for 2D
 or 3D medical data.
 
 
	Con...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4726722</comments>
            <pubDate>Thu, 14 Apr 2011 17:02:29 +0100</pubDate>
            <guid isPermaLink="false">4726722</guid>        </item>
        <item>
            <title>Mining MEDLINE for the Treatment of Osteoporosis</title>
            <link>http://www.medworm.com/index.php?rid=4726721&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fr0pq1x2q82614654%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, we consider the importance of osteoporosis disease in terms of medical research and pharmaceutical industry
 and we introduce a knowledge discovery approach regarding the treatment of osteoporosis from a historical perspective. Osteoporosis
 is a systemic skeletal disease in which osteoporotic fractures are associated with substantial morbidity and mortality and
 impaired quality of life. Osteoporosis has also higher costs, for example, longer hospital stays than many other diseases
 such as diabetes and heart attack and it is an attractive market for pharmaceutical companies. We use a freely available biomedical
 search engine leveraging text-mining technology to extract the drug names used in the treatment of osteoporosis from MEDLINE
 articles. We conc...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4726721</comments>
            <pubDate>Thu, 14 Apr 2011 17:02:29 +0100</pubDate>
            <guid isPermaLink="false">4726721</guid>        </item>
        <item>
            <title>Electronic Hand-Drafting and Picture Management System</title>
            <link>http://www.medworm.com/index.php?rid=4726723&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fl403378008152725%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The Department of Health of Executive Yuan in Taiwan (R.O.C.) is implementing a five-stage project entitled Electronic Medical
 Record (EMR) converting all health records from written to electronic form. Traditionally, physicians record patients’ symptoms,
 related examinations, and suggested treatments on paper medical records. Currently when implementing the EMR, all text files
 and image files in the Hospital Information System (HIS) and Picture Archiving and Communication Systems (PACS) are kept separate.
 The current medical system environment is unable to combine text files, hand-drafted files, and photographs in the same system,
 so it is difficult to support physicians with the recording of medical data. Furthermore, in surgical and other related departments,
...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4726723</comments>
            <pubDate>Wed, 13 Apr 2011 15:59:29 +0100</pubDate>
            <guid isPermaLink="false">4726723</guid>        </item>
        <item>
            <title>A Software Framework for Building Biomedical Machine Learning Classifiers through Grid Computing Resources</title>
            <link>http://www.medworm.com/index.php?rid=4710931&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F322474182k488568%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper describes the BiomedTK software framework, created to perform massive explorations of machine learning classifiers
 configurations for biomedical data analysis over distributed Grid computing resources. BiomedTK integrates ROC analysis throughout
 the complete classifier construction process and enables explorations of large parameter sweeps for training third party classifiers
 such as artificial neural networks and support vector machines, offering the capability to harness the vast amount of computing
 power serviced by Grid infrastructures. In addition, it includes classifiers modified by the authors for ROC optimization
 and functionality to build ensemble classifiers and manipulate datasets (import/export, extract and transform data, etc.).
 BiomedTK wa...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4710931</comments>
            <pubDate>Sat, 09 Apr 2011 05:53:27 +0100</pubDate>
            <guid isPermaLink="false">4710931</guid>        </item>
        <item>
            <title>Discovering Mammography-based Machine Learning Classifiers for Breast Cancer Diagnosis</title>
            <link>http://www.medworm.com/index.php?rid=4710932&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fa584v57k8t8m6269%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This work explores the design of mammography-based machine learning classifiers (MLC) and proposes a new method to build MLC
 for breast cancer diagnosis. We massively evaluated MLC configurations to classify features vectors extracted from segmented
 regions (pathological lesion or normal tissue) on craniocaudal (CC) and/or mediolateral oblique (MLO) mammography image views, providing BI-RADS diagnosis. Previously, appropriate combinations of image processing and
 normalization techniques were applied to reduce image artifacts and increase mammograms details. The method can be used under
 different data acquisition circumstances and exploits computer clusters to select well performing MLC configurations. We evaluated
 286 cases extracted from the repository owned by HS...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4710932</comments>
            <pubDate>Sat, 09 Apr 2011 05:53:26 +0100</pubDate>
            <guid isPermaLink="false">4710932</guid>        </item>
        <item>
            <title>Research on Application Information System Integration Platform in Medicine Manufacturing Enterprise</title>
            <link>http://www.medworm.com/index.php?rid=4710933&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fc3115548m052105x%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Computer and information technology popularizes in the medicine manufacturing enterprise for its potentials in working efficiency
 and service quality. In allusion to the explosive data and information of application system in current medicine manufacturing
 enterprise, we desire to propose a novel application information system integration platform in medicine manufacturing enterprise,
 which based on a combination of RFID technology and SOA, to implement information sharing and alternation. This method exploits
 the application integration platform across service interface layer to invoke the RFID middleware. The loose coupling in integration
 solution is realized by Web services. The key techniques in RFID event components and expanded role-based security access
 mec...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4710933</comments>
            <pubDate>Fri, 08 Apr 2011 17:00:08 +0100</pubDate>
            <guid isPermaLink="false">4710933</guid>        </item>
        <item>
            <title>Mammographic Image Based Breast Tissue Classification with Kernel Self-optimized Fisher Discriminant for Breast Cancer Diagnosis</title>
            <link>http://www.medworm.com/index.php?rid=4710935&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F34h611pw13766566%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Breast tissue classification is an important and effective way for computer aided diagnosis of breast cancer with digital
 mammogram. Current methods endure two problems, firstly pectoral muscle influences the classification performance owing to
 its texture similar to parenchyma, and secondly classification algorithms fail to deal with the nonlinear problem from the
 digital mammogram. For these problems, we propose a novel framework of breast tissue classification based on kernel self-optimized
 discriminant analysis combined with the artifacts and pectoral muscle removal with multi-level segmentation based Connected
 Component Labeling analysis. Experiments on mini-MIAS database are implemented to testify and evaluate the performance of
 proposed algorithm.
 
 
	Cont...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4710935</comments>
            <pubDate>Fri, 08 Apr 2011 07:05:58 +0100</pubDate>
            <guid isPermaLink="false">4710935</guid>        </item>
        <item>
            <title>Virtual Subject Innovation Platform: A New Operational Pattern for Comprehensive Hospital</title>
            <link>http://www.medworm.com/index.php?rid=4710934&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fbl2m6641v58026k7%2F</link>
            <description>This article discusses the subject’s structure, the construction’s principles,
 cooperation advantages and clarifies that the platform could boost the efficiency of hospital to do some medical research.
 
 
	Content Type Journal ArticlePages 1-6DOI 10.1007/s10916-011-9699-9Authors
		Huan Xu, Department of Medical Affairs, Jinling Hospital, Nanjing, People’s Republic of ChinaYuxiu Liu, Department of Medical Affairs, Jinling Hospital, Nanjing, People’s Republic of ChinaYi Su, Department of Medical Affairs, Jinling Hospital, Nanjing, People’s Republic of ChinaLinming Zhou, Department of Medical Affairs, Jinling Hospital, Nanjing, People’s Republic of ChinaGuobin Yang, Department of Medical Affairs, Jinling Hospital, Nanjing, People’s Republic of ChinaXueming Yi, Department of Me...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4710934</comments>
            <pubDate>Fri, 08 Apr 2011 07:05:58 +0100</pubDate>
            <guid isPermaLink="false">4710934</guid>        </item>
        <item>
            <title>RACOON: A Multiuser QoS Design for Mobile Wireless Body Area Networks</title>
            <link>http://www.medworm.com/index.php?rid=4687421&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fl454448173303650%2F</link>
            <description>In this study, Random Contention-based Resource Allocation (RACOON) medium access control (MAC) protocol is proposed to support the quality of service (QoS) for multi-user mobile wireless
 body area networks (WBANs). Different from existing QoS designs that focus on a single WBAN, a multiuser WBAN QoS should further
 consider both inter-WBAN interference and inter-WBAN priorities. Similar problems have been studied in both overlapped wireless
 local area networks (WLANs) and Bluetooth piconets that need QoS supports. However, these solutions are designed for non-medical
 transmissions that do not consider any priority scheme for medical applications. Most importantly, these studies focus on
 only static or low mobility networks. Network mobility of WBANs will introduce unnecessary inter-ne...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4687421</comments>
            <pubDate>Tue, 05 Apr 2011 09:58:41 +0100</pubDate>
            <guid isPermaLink="false">4687421</guid>        </item>
        <item>
            <title>A Novel Mathematical Approach to Diagnose Premenstrual Syndrome</title>
            <link>http://www.medworm.com/index.php?rid=4687422&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F447125k0184861jn%2F</link>
            <description>This study proposes a methodology to diagnose
 PMS cases using a combined knowledge engineering and soft computing techniques. According to the guidelines of American College
 of Gynecology (ACOG), ten symptoms have been selected and technically processed for 50 cases each having class labels—‘B’
 or ‘NB’ (not borderline) using domain expertise. Any Attribute that fails normality test has been excluded from the study.
 Decision tree (DT) has then been induced in obtaining the initial class boundaries and mining the important Attributes to
 classify PMS cases. Prior doing so, the best split criterion has been set using the maximum information gain measure. Initial
 information about classification boundaries are finally used to measure fuzzy membership values and the corresponding...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4687422</comments>
            <pubDate>Tue, 05 Apr 2011 09:58:40 +0100</pubDate>
            <guid isPermaLink="false">4687422</guid>        </item>
        <item>
            <title>Luminance Sticker Based Facial Expression Recognition Using Discrete Wavelet Transform for Physically Disabled Persons</title>
            <link>http://www.medworm.com/index.php?rid=4687423&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk548066027h2g194%2F</link>
            <description>In this study, conventional validation and cross validation are
 performed to evaluate the efficiency of the suggested feature vectors. Three different classifiers namely Artificial Neural
 Network (ANN), k-Nearest Neighborhood (kNN) and Linear Discriminant Analysis (LDA) are used to classify a set of eight facial
 expressions. The experimental results demonstrate that the proposed method gives very promising classification accuracies.
 
 
	Content Type Journal ArticlePages 1-10DOI 10.1007/s10916-011-9690-5Authors
		R. Nagarajan, University Malaysia Perlis, Kangar, Perlis, MalaysiaM. Hariharan, University Malaysia Perlis, Kangar, Perlis, MalaysiaM. Satiyan, University Malaysia Perlis, Kangar, Perlis, Malaysia
	

	
		Journal Journal of Medical SystemsOnline ISSN 1573-689XPrint ISSN 0148-559...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4687423</comments>
            <pubDate>Tue, 05 Apr 2011 09:58:39 +0100</pubDate>
            <guid isPermaLink="false">4687423</guid>        </item>
        <item>
            <title>Development of Fundamental Infrastructure for Nationwide EHR in Japan</title>
            <link>http://www.medworm.com/index.php?rid=4687424&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F2gq786x642jx6x05%2F</link>
            <description>In this study, we constructed a mechanism
 for a medical cooperation system which links the EHR systems of individual regions and is able to create a one-patient, one-record
 system on the national level. In this paper, we will provide a report of this mechanism and of the 4-year operational trial.
 
 
	Content Type Journal ArticlePages 1-6DOI 10.1007/s10916-011-9688-zAuthors
		Tadamasa Takemura, Department of Medical Informatics, Kyoto University Hospital, Kyoto, JapanKenji Araki, Department of Medical Informatics, University of Miyazaki Hospital, Miyazaki, JapanKenji Arita, Department of Medical Informatics, University of Miyazaki Hospital, Miyazaki, JapanToshiaki Suzuki, Japan DynaSystems Inc., Nagoya, JapanKazuya Okamoto, Department of Medical Informatics, Kyoto University Hospital, Ky...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4687424</comments>
            <pubDate>Thu, 31 Mar 2011 17:39:36 +0100</pubDate>
            <guid isPermaLink="false">4687424</guid>        </item>
        <item>
            <title>Epileptic Seizure Detection Using Probability Distribution Based On Equal Frequency Discretization</title>
            <link>http://www.medworm.com/index.php?rid=4665779&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F2q32k81040m66156%2F</link>
            <description>In this study, we offered a new feature extraction approach called probability distribution based on equal frequency discretization
 (EFD) to be used in the detection of epileptic seizure from electroencephalogram (EEG) signals. Here, after EEG signals were
 discretized by using EFD method, the probability densities of the signals were computed according to the number of data points
 in each interval. Two different probability density functions were defined by means of the polynomial curve fitting for the
 subjects without epileptic seizure and the subjects with epileptic seizure, and then when using the mean square error criterion
 for these two functions, the success of epileptic seizure detection was 96.72%. In addition, when the probability densities
 of EEG segments were used as the i...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4665779</comments>
            <pubDate>Tue, 29 Mar 2011 07:02:23 +0100</pubDate>
            <guid isPermaLink="false">4665779</guid>        </item>
        <item>
            <title>Ontology-Based Clinical Pathways with Semantic Rules</title>
            <link>http://www.medworm.com/index.php?rid=4665780&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fr435tn7854g54646%2F</link>
            <description>This study proposed an ontology-based method to model CP: ontology was used to model CP domain terms; Semantic Web Rule language
 was used to model domain rules. In this way, the CP could reason over the rules, knowledge, and information collected, and
 provides automated error checking for the next steps of the treatment in runtime, which is adaptive to treatment procedures.
 To evaluate our method, we built a Lobectomia Pulmonalis CP and realized it based on an EMR system.
 
 
	Content Type Journal ArticlePages 1-10DOI 10.1007/s10916-011-9687-0Authors
		Zhen Hu, Healthcare Informatics Engineering Research Center, Zhejiang University, Hangzhou, 310027 ChinaJing-Song Li, Healthcare Informatics Engineering Research Center, Zhejiang University, Hangzhou, 310027 ChinaTian-Shu Zhou, Healthcare...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4665780</comments>
            <pubDate>Tue, 29 Mar 2011 07:02:22 +0100</pubDate>
            <guid isPermaLink="false">4665780</guid>        </item>
        <item>
            <title>Design of Web-Based Fuzzy Input Expert System for the Analysis of Serology Laboratory Tests</title>
            <link>http://www.medworm.com/index.php?rid=4665781&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F11v42v14n1r42428%2F</link>
            <description>In this study, it is aimed, using the Web-based Expert System with Fuzzy Input (WESFI), to convert the patients’ (users’) Serology Laboratory Tests (SLT) results to linguistic statements (low, normal, high) and
 analyzing those, give a feedback to the user (patient) of the potential signs of disease. The feedbacks given to the patients
 are the existing interpretations in the database, which were prepared by doctors before. Furthermore, the SLT terms (Brucella
 Coombs, Ama, P-Protein etc.) are explained in a way that the user can understand. The WESFI is published with an interface
 on the web environment. In order to determine the rate of the success of the WESFI, users evaluated the system answering the
 “How do you find the evaluation?” question. The question has been answered b...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4665781</comments>
            <pubDate>Tue, 29 Mar 2011 07:02:21 +0100</pubDate>
            <guid isPermaLink="false">4665781</guid>        </item>
        <item>
            <title>A Novel Medium Access Control Protocol with Low Delay and Traffic Adaptivity for Wireless Body Area Networks</title>
            <link>http://www.medworm.com/index.php?rid=4632817&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F7256233717577775%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;IEEE 802.15.4 technology provides one solution for low-rate short range communications. Based on the integrated superframe
 structure of IEEE 802.15.4, a novel low-delay traffic-adaptive medium access control (LDTA-MAC) protocol for wireless body
 area networks (WBANs) is proposed in the paper. In LDTA-MAC, the guaranteed time slots (GTSs) are allocated dynamically according
 to the traffic load. At the same time, the active portion of superframe is kept to be a reasonable duration to decrease the
 energy consumption of the network devices. Moreover, for the successful GTS requests, the related data packets are transmitted
 in the current superframe instead of waiting more time to reduce the average packet delay. Simulations are conducted to evaluate
 the network perfor...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4632817</comments>
            <pubDate>Tue, 22 Mar 2011 18:11:24 +0100</pubDate>
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            <title>An Environmental-Adaptive Fall Detection System on Mobile Device</title>
            <link>http://www.medworm.com/index.php?rid=4632818&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk355668368302508%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;When facing damages caused by falls, a well designed smart sensor system to detect falls can be both medically and economically
 helpful. This research introduces a portable terrain adaptable fall detection system, by placing accelerometers and gyroscopes
 in parts of the body and transmit data through wireless transmitter modules to mobile devices to get the related information
 and combining it with the center of gravity clustering algorithm introduced in this research which computes the human body
 behavior patterns according the relationship between the center of gravity in the body and the feet portion of the body. Compared
 with the research in the past, this system is not only highly accurate and robust, but also able to adapt to different types
 of terrains, whi...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4632818</comments>
            <pubDate>Tue, 22 Mar 2011 05:59:09 +0100</pubDate>
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            <title>Non-Invasive Diagnosis of Stress Urinary Incontinence Sub Types Using Wavelet Analysis, Shannon Entropy and Principal Component Analysis</title>
            <link>http://www.medworm.com/index.php?rid=4617417&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F5v35t645006rt680%2F</link>
            <description>In this study, a diagnostic method
 with a success rate comparable to that of urodynamic studies is presented. This new method has some advantages over the current
 one. First, it is noninvasive; data are collected using Doppler ultrasound recording. Second, it requires no special tools
 and is easy to apply, relatively inexpensive, faster and more hygienic.
 
 
	Content Type Journal ArticlePages 1-11DOI 10.1007/s10916-011-9680-7Authors
		Kadir Tufan, Department of Computer Engineering, Fatih University, Istanbul, 34500 TurkeySadık Kara, Department of Electrical-Electronics Engineering, Institute of Biomedical Engineering, Fatih University, Istanbul, TurkeyFatma Latifoğlu, Department of Biomedical Engineering, Erciyes University, Kayseri, TurkeySinem Aydın, Radiology Department, Haseki ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4617417</comments>
            <pubDate>Fri, 18 Mar 2011 16:45:20 +0100</pubDate>
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            <title>Evaluation of the Medical Records System in an Upcoming Teaching Hospital—A Project for Improvisation</title>
            <link>http://www.medworm.com/index.php?rid=4611764&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fv388174x7u827mu1%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The medical records system of an upcoming teaching hospital in a developing nation was evaluated for its accessibility, completeness,
 physician satisfaction, presence of any lacunae, suggestion of necessary steps for improvisation and to emphasize the importance
 of Medical records system in education and research work. The salient aspects of the medical records department were evaluated
 based on a questionnaire which was evaluated by a team of 40 participants—30 doctors, 5 personnel from Medical Records Department
 and 5 from staff of Hospital administration. Most of the physicians (65%) were partly satisfied with the existing medical
 record system. 92.5% were of the opinion that upgradation of the present system is necessary. The need of the hour in the
 present ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4611764</comments>
            <pubDate>Tue, 15 Mar 2011 17:24:19 +0100</pubDate>
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            <title>Application of Intelligent Systems in Asthma Disease: Designing a Fuzzy Rule-Based System for Evaluating Level of Asthma Exacerbation</title>
            <link>http://www.medworm.com/index.php?rid=4578703&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fj0xu834740670748%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper discusses the capacities of artificial intelligence in the process of asthma diagnosing and asthma treatment. Developed
 intelligent systems for asthma disease have been classified in five categories including diagnosing, evaluating, management,
 communicative facilities, and prediction. Considering inputs, results, and methodologies of the systems show that by focusing
 on meticulous analysis of quality of life as an input variable and developing patient-based systems, under-diagnosing and
 asthma morbidity and mortality would decrease significantly. Regard to the importance of accurate evaluation in accurate prescription
 and expeditious treatment, the methodology of developing a fuzzy expert system for evaluating level of asthma exacerbation
 is presented ...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4578703</comments>
            <pubDate>Fri, 11 Mar 2011 18:06:18 +0100</pubDate>
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        <item>
            <title>An Image Processing Application for the Localization and Segmentation of Lymphoblast Cell Using Peripheral Blood Images</title>
            <link>http://www.medworm.com/index.php?rid=4578706&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fh114306x33568m05%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;An important preliminary step in the diagnosis of leukemia is the visual examination of the patient’s peripheral blood smear
 under the microscope. Morphological changes in the white blood cells can be an indicator of the nature and severity of the
 disease. Manual techniques are labor intensive, slow, error prone and costly. A computerized system can be used as a supportive
 tool for the specialist in order to enhance and accelerate the morphological analysis process. This research present a new
 method that integrates color features with the morphological reconstruction to localize and isolate lymphoblast cells from
 a microscope image that contains many cells. The localization and segmentation are conducted using a proposed method that
 consists of an integration o...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4578706</comments>
            <pubDate>Fri, 11 Mar 2011 18:06:17 +0100</pubDate>
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            <title>Intelligent Personal Health Record: Experience and Open Issues</title>
            <link>http://www.medworm.com/index.php?rid=4578705&amp;cid=s_33356_21_f&amp;fid=33356&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fr0627228626urjk8%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Web-based personal health records (PHRs) are under massive deployment. To improve PHR’s capability and usability, we previously
 proposed the concept of intelligent PHR (iPHR). By introducing and extending expert system technology and Web search technology
 into the PHR domain, iPHR can automatically provide users with personalized healthcare information to facilitate their daily
 activities of living. Our iPHR system currently provides three functions: guided search for disease information, recommendation
 of home nursing activities, and recommendation of home medical products. This paper discusses our experience with iPHR as
 well as the open issues, including both enhancements to the existing functions and potential new functions. We outline some
 preliminary solut...</description>
            <author>Journal of Medical Systems</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4578705</comments>
            <pubDate>Fri, 11 Mar 2011 18:06:17 +0100</pubDate>
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