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Subject IndexEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 1, 2009 Category: Bioinformatics Source Type: journals

Author IndexEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 1, 2009 Category: Bioinformatics Source Type: journals

An electromechanical based deformable model for soft tissue simulationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: The proposed methodology does not only predict the typical behaviours of living tissues, but it also accepts both local and large-range deformations. It also accommodates isotropic, anisotropic and inhomogeneous deformations by simple modification of diffusion coefficients. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 1, 2009 Category: Bioinformatics Authors: Yongmin Zhong, Bijan Shirinzadeh, Julian Smith, Chengfan Gu Tags: Research Articles Source Type: journals

Entropy and complexity measures for EEG signal classification of schizophrenic and control participantsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: This study shows that EEG signals can be a useful tool for discrimination of the schizophrenic and control participants. It is suggested that this analysis can be a complementary tool to help psychiatrists diagnosing schizophrenic patients. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 1, 2009 Category: Bioinformatics Authors: Malihe Sabeti, Serajeddin Katebi, Reza Boostani Tags: Research Articles Source Type: journals

Adapted variable precision rough set approach for EEG analysisEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: The presented approach is a useful method for substantial attribute reduction in noisy and inconsistent data sets. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 1, 2009 Category: Bioinformatics Authors: Michael Ningler, Gudrun Stockmanns, Gerhard Schneider, Hans-Dieter Kochs, Eberhard Kochs Tags: Research Articles Source Type: journals

Addressing the flaws of current critical alarms: a fuzzy constraint satisfaction approachEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: The proposal presented herein for describing monitoring criteria, comprising the MFTP model and TRACE, permits the supervision of monitoring criteria that cannot be represented by means of thresholds, and makes it possible to construct alarms that give a rate of false positives far below that for threshold alarms. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 1, 2009 Category: Bioinformatics Authors: Abraham Otero, Paulo Félix, Senén Barro, Francisco Palacios Tags: Research Articles Source Type: journals

Impact of censoring on learning Bayesian networks in survival modellingEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: Presented methods for learning Bayesian networks from data can be used to learn from censored survival data in the presence of light censoring (up to 20%) by treating censored cases as event-free. Given intermediate or heavy censoring, the learnt models become tuned to the majority class and would thus require a different approach. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 1, 2009 Category: Bioinformatics Authors: Ivan Štajduhar, Bojana Dalbelo-Bašić, Nikola Bogunović Tags: Research Articles Source Type: journals

Effect of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution pathsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: Students benefit from a limited-enforcement tutoring system that leverages diagnostic algorithms but does not prevent alternative strategies. Even with limited enforcement, students converge toward the optimal solution path. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 1, 2009 Category: Bioinformatics Authors: Velma L. Payne, Olga Medvedeva, Elizabeth Legowski, Melissa Castine, Eugene Tseytlin, Drazen Jukic, Rebecca S. Crowley Tags: Research Articles Source Type: journals

Editorial BoardEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 1, 2009 Category: Bioinformatics Source Type: journals

Prediction of organ failure in critical careEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We have read the article of Silva and coworkers on Rating organ failure via adverse events using data mining in the intensive care unit published in Artificial Intelligence in Medicine in 2008 with great interest . They have mentioned the limitations of current organ failure and prognostic prediction systems with significant accuracy. Actually the failure of linear regression models is due to the inherent properties of critical care and multiple organ failure. The major determinant of mortality in critical care is the worsening of or newly arising organ failures during the stay in intensive care units (ICUs) and their earl...
Source: Artificial Intelligence in Medicine - September 14, 2009 Category: Bioinformatics Authors: Yusuf Alper Kilic, Ilke Zekiye Kilic Tags: Letter to the Editor Source Type: journals

Markov decision process applied to the control of hospital elective admissionsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: This is a complex model due to its stochastic dynamic and dimensionality. The model has great potential for application, and requires the development of customized solution methods. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - September 14, 2009 Category: Bioinformatics Authors: Luiz Guilherme Nadal Nunes, Solon Venâncio de Carvalho, Rita de Cássia Meneses Rodrigues Tags: Research Articles Source Type: journals

Differential automatic diagnosis between Alzheimer's disease and frontotemporal dementia based on perfusion SPECT imagesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: The performances obtained by the classifier for the differential diagnosis of AD and FTD were found convincing. It could help physicians in daily practice, particularly when visual assessment is inconclusive, or when dealing with multicentre data. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - September 14, 2009 Category: Bioinformatics Authors: Jean-François Horn, Marie-Odile Habert, Aurélie Kas, Zoulikha Malek, Philippe Maksud, Lucette Lacomblez, Alain Giron, Bernard Fertil Tags: Research Articles Source Type: journals

Combining clinical assessment scores and in vivo MR spectroscopy neurometabolites in very low birth weight adolescentsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Summary: Objective: Very low birth weight (VLBW) survivors are at increased risk of neurological impairments that may persist into adolescence and adulthood. The aims of this study were to identify the most important clinical assessments that characterize differences between VLBW and control adolescents, and to look at the relationship between clinical assessments and the metabolites in in vivo MR spectra.Methods: At 14–15 years of age, 54 VLBW survivors and 64 term controls were examined clinically. Several neuropsychological and motor assessments were performed. The magnetic resonance (MR) brain spectra were acquired f...
Source: Artificial Intelligence in Medicine - September 14, 2009 Category: Bioinformatics Authors: Tone F. Bathen, Gro C. Christensen Løhaugen, Ann-Mari Brubakk, Ingrid S. Gribbestad, David E. Axelson, Jon Skranes Tags: Research Articles Source Type: journals

Application of constrained independent component analysis algorithms in electrocardiogram arrhythmiasEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: We have shown that the ICA only version of the algorithms can be improved and adapted to fulfill the prior information about the characteristics of the atrial activity. This modification allows us to obtain new algorithms that have the following advantages compared to ICA only based solutions: they exploit prior information during the extraction, not in the postprocessing identification of the atrial signal; they extract only the interesting clinical signal instead of all the components; they outperform the ICA only version of the algorithm, improving the estimation of the atrial signal. (Source: Artificial In...
Source: Artificial Intelligence in Medicine - September 14, 2009 Category: Bioinformatics Authors: Raul Llinares, Jorge Igual Tags: Research Articles Source Type: journals

Exploring ant-based algorithms for gene expression data analysisEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: Ant-C can generate optimal number of clusters without incorporating any other algorithms such as K-means or agglomerative hierarchical clustering. For associative classification, while a few of the well-known algorithms such as Apriori, FP-growth and Magnum Opus are unable to mine any association rules from the ALL/AML dataset within a reasonable period of time, Ant-ARM is able to extract associative classification rules. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - September 14, 2009 Category: Bioinformatics Authors: Yulan He, Siu Cheung Hui Tags: Research Articles Source Type: journals

An ontology-based approach to enhance querying capabilities of general practice medicine for better management of hypertensionEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: The presented framework shows potential to provide answers to clinically relevant queries with complex temporal relationships. The framework can be used to successfully identify hypertensive patients who need to be followed-up/recalled. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - September 14, 2009 Category: Bioinformatics Authors: Thusitha Mabotuwana, Jim Warren Tags: Research Articles Source Type: journals

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(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - September 14, 2009 Category: Bioinformatics Source Type: journals

Morphometric analysis of brain images with reduced number of statistical tests: A study on the gender-related differentiation of the corpus callosumEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: DRP can be a viable approach for detecting discriminative morphometric characteristics among groups of subjects, having the potential to alleviate the multiple comparisons’ effect by significantly reducing the number of required statistical tests. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - August 13, 2009 Category: Bioinformatics Authors: Despina Kontos, Vasileios Megalooikonomou, James C. Gee Tags: Research Articles Source Type: journals

A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapyEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: RF and SVM models can produce predictions of virological response to HIV treatment that are comparable in accuracy to a committee of ANN models. Combining the predictions of different models improves their accuracy somewhat.This approach has potential as a future clinical tool and a combination of ANN and RF models is being taken forward for clinical evaluation. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - August 13, 2009 Category: Bioinformatics Authors: Dechao Wang, Brendan Larder, Andrew Revell, Julio Montaner, Richard Harrigan, Frank De Wolf, Joep Lange, Scott Wegner, Lidia Ruiz, María Jésus Pérez-Elías, Sean Emery, Jose Gatell, Antonella D’Arminio Monforte, Carlo Torti, Maurizio Zazzi, Clifford Tags: Research Articles Source Type: journals

An intelligent model for liver disease diagnosisEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This study accordingly employs classification and regression tree (CART) and case-based reasoning (CBR) techniques to structure an intelligent diagnosis model aiming to provide a comprehensive analytic framework to raise the accuracy of liver disease diagnosis. Methods: Based on the advice and assistance of doctors and medical specialists of liver conditions, 510 outpatient visitors using ICD-9 (International Classification of Diseases, 9th Revision) codes at a medical center in Taiwan from 2005 to 2006 were selected as the cases in the data set for liver disease diagnosis. Data on 340 patients was utilized for the develop...
Source: Artificial Intelligence in Medicine - August 13, 2009 Category: Bioinformatics Authors: Rong-Ho Lin Tags: Research Articles Source Type: journals

Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognitionEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: Our investigation shows that both frameworks have powerful capabilities to cope with the uncertainty in the medical pattern recognition problems. But, IFSs yield better detection rate as a result of more accurate modeling which is involved with incurring more computational cost. Our research also shows that among different IFS similarity measures, IFS Hausdorf and Mitchel ones score the best results. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - August 13, 2009 Category: Bioinformatics Authors: Vahid Khatibi, Gholam Ali Montazer Tags: Research Articles Source Type: journals

An interpretable fuzzy rule-based classification methodology for medical diagnosisEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Summary: Objective: The aim of this paper is to present a novel fuzzy classification framework for the automatic extraction of fuzzy rules from labeled numerical data, for the development of efficient medical diagnosis systems.Methods and materials: The proposed methodology focuses on the accuracy and interpretability of the generated knowledge that is produced by an iterative, flexible and meaningful input partitioning mechanism. The generated hierarchical fuzzy rule structure is composed by linguistic; multiple consequent fuzzy rules that considerably affect the model comprehensibility.Results and conclusion: The perform...
Source: Artificial Intelligence in Medicine - August 13, 2009 Category: Bioinformatics Authors: Ioannis Gadaras, Ludmil Mikhailov Tags: Research Articles Source Type: journals

Design patterns for clinical guidelinesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: We have demonstrated that our templates could be effectively applied to screening and immunization guidelines to produce computer-interpretable representations using domain-level abstractions. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - August 13, 2009 Category: Bioinformatics Authors: Mor Peleg, Samson W. Tu Tags: Research Articles Source Type: journals

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(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - August 13, 2009 Category: Bioinformatics Source Type: journals

Subject IndexEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - June 25, 2009 Category: Bioinformatics Source Type: journals

Author IndexEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - June 25, 2009 Category: Bioinformatics Source Type: journals

A model-free ensemble method for class prediction with application to biomedical decision makingEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: Because of its superior performance in terms of sensitivity and negative predictive value compared to its competitors, the convex-hull ensemble classifier demonstrates good potential for medical screening, where often the major emphasis is placed on having reliable negative predictions. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - June 25, 2009 Category: Bioinformatics Authors: Ralph L. Kodell, Bruce A. Pearce, Songjoon Baek, Hojin Moon, Hongshik Ahn, John F. Young, James J. Chen Tags: Research Articles Source Type: journals

Modelling treatment effects in a clinical Bayesian network using Boolean threshold functionsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: By reconsidering the modelling of interactions between the random variables in a Bayesian network using the theory of causal independence, it is possible to refine its performance. This was clearly shown for our Bayesian network concerning VAP, indicating that only specific noisy-threshold models might be appropriate for the modelling of the interaction between pathogens and antimicrobial treatment with respect to susceptibility. The results obtained also provide evidence that the noisy-OR and noisy-AND might not always be the best functions to model interactions among random variables. (Source: Artificial Int...
Source: Artificial Intelligence in Medicine - June 25, 2009 Category: Bioinformatics Authors: Stefan Visscher, Peter J.F. Lucas, Carolina A.M. Schurink, Marc J.M. Bonten Tags: Research Articles Source Type: journals

Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasksEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: This study shows that the assessment of recovery after stroke can be automated by means of posterior probability profiles due to their high correlation with the Fugl-Meyer assessment. The posterior probability profiles confirm the importance of a recovery within the first weeks after stroke to obtain a higher recovery plateau compared to later changes in recovery. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - June 25, 2009 Category: Bioinformatics Authors: Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle Tags: Research Articles Source Type: journals

Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligenceEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: The proposed approach combines the generalization capability of CI based feature selection approach and generation of easily interpretable classification rules of the decision tree. The combination of CI techniques with DT gave substantially better test prediction performance than using CI and DT separately. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - June 25, 2009 Category: Bioinformatics Authors: Biswanath Samanta, Geoffrey L. Bird, Marijn Kuijpers, Robert A. Zimmerman, Gail P. Jarvik, Gil Wernovsky, Robert R. Clancy, Daniel J. Licht, J. William Gaynor, Chandrasekhar Nataraj Tags: Research Articles Source Type: journals

Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithmsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Summary: Objective: Periventricular leukomalacia (PVL) is part of a spectrum of cerebral white matter injury which is associated with adverse neurodevelopmental outcome in preterm infants. While PVL is common in neonates with cardiac disease, both before and after surgery, it is less common in older infants with cardiac disease. Pre-, intra-, and postoperative risk factors for the occurrence of PVL are poorly understood. The main objective of the present work is to identify potential hemodynamic risk factors for PVL occurrence in neonates with complex heart disease using logistic regression analysis and decision tree algor...
Source: Artificial Intelligence in Medicine - June 25, 2009 Category: Bioinformatics Authors: Biswanath Samanta, Geoffrey L. Bird, Marijn Kuijpers, Robert A. Zimmerman, Gail P. Jarvik, Gil Wernovsky, Robert R. Clancy, Daniel J. Licht, J. William Gaynor, Chandrasekhar Nataraj Tags: Research Articles Source Type: journals

Model of experts for decision support in the diagnosis of leukemia patientsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This article will detail the manner in which individual experts are combined so that together they generate a system capable of extracting knowledge, thus permitting patients to be classified in an automatic and efficient manner that is also comprehensible for medical personnel.Results and conclusion: The system has been tested in a real setting and has been used for classifying patients who suffer from different forms of leukemia at various stages. Personnel from the Cancer Institute supervised and participated throughout the testing period. Preliminary results are promising, notably improving the results obtained with pr...
Source: Artificial Intelligence in Medicine - June 25, 2009 Category: Bioinformatics Authors: Juan M. Corchado, Juan F. De Paz, Sara Rodríguez, Javier Bajo Tags: Research Articles Source Type: journals

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(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - June 25, 2009 Category: Bioinformatics Source Type: journals

Noise-tolerant electrocardiogram beat classification based on higher order statistics of subband componentsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: The results demonstrate the effectiveness and noise-tolerant capacities of the proposed method in ECG beat classification. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2009 Category: Bioinformatics Authors: Sung-Nien Yu, Ying-Hsiang Chen Tags: Research Articles Source Type: journals

An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: Our results indicate that considering feature selection and parameter optimization simultaneously, in SVM modeling, can help to develop better predictive models for the ADMET properties of drugs. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2009 Category: Bioinformatics Authors: Sheng-Yong Yang, Qi Huang, Lin-Li Li, Chang-Ying Ma, Hui Zhang, Ru Bai, Qi-Zhi Teng, Ming-Li Xiang, Yu-Quan Wei Tags: Research Articles Source Type: journals

An application of methods for the probabilistic three-class classification of pregnancies of unknown locationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: The prediction of PULs was good, most notably for failing PULs and IUPs. Logistic regression models performed remarkably well. Multi-class KLR also performed well, whilst nonlinearity was automatically incorporated and probabilistic outputs were directly given without Bayesian analysis or a combination of binary results. The selected inputs are reasonably objective and easy to obtain in clinical practice. Taken together, this study provided useful decision support tools for implementation in clinical practice. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2009 Category: Bioinformatics Authors: Ben Van Calster, George Condous, Emma Kirk, Tom Bourne, Dirk Timmerman, Sabine Van Huffel Tags: Research Articles Source Type: journals

Association of genetic profiles to Crohn’s disease by linear combinations of single nucleotide polymorphismsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: Our methodology allowed to statistically measure the association of a panel of SNPs with a specific phenotype. Therefore this approach could be suitable for a population screening program with simultaneous evaluation of a large set of gene polymorphims. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2009 Category: Bioinformatics Authors: Annarita D’Addabbo, Anna Latiano, Orazio Palmieri, Maria Teresa Creanza, Rosalia Maglietta, Vito Annese, Nicola Ancona Tags: Research Articles Source Type: journals

A decision aid for intensity-modulated radiation-therapy plan selection in prostate cancer based on a prognostic Bayesian network and a Markov modelEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: Our method makes explicit the tradeoffs patients face between quality and quantity of life. This approach has advantages over current approaches because with our approach risks of health outcomes and patient preferences determine treatment decisions. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2009 Category: Bioinformatics Authors: Wade P. Smith, Jason Doctor, Jürgen Meyer, Ira J. Kalet, Mark H. Phillips Tags: Research Articles Source Type: journals

Situated cognition in clinical visualization: The role of transparency in GammaKnife neurosurgery planningEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: Designers of visualization technology need to compare the cognitive interpretations generated by the new visualization systems to conceptions generated during “traditional” clinical work. This means that the viewpoint of different clinical user groups involved in a given clinical task would have to be taken into account as well. A way forward would be to acknowledge that visualization is a socio-cognitive function that has practice-based antecedents and consequences, and to reconsider what analytical and scientific challenges this presents us with. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2009 Category: Bioinformatics Authors: David Dinka, James M. Nyce, Toomas Timpka Tags: Research Articles Source Type: journals

Using WordNet synonym substitution to enhance UMLS source integrationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: A synonym-substitution methodology that utilizes WordNet is a useful automated aide in UMLS source integration. Experiments showed that there was a significant speed-up but no degradation in match results when the methodology's “maximum number of substitutions per term” parameter was relatively tightly constrained. The methodology also helped to discover errors in the MST's original integration, and improve the quality of the UMLS's conceptual content. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2009 Category: Bioinformatics Authors: Kuo-Chuan Huang, James Geller, Michael Halper, Yehoshua Perl, Junchuan Xu Tags: Research Articles Source Type: journals

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(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2009 Category: Bioinformatics Source Type: journals

Agentification of Markov model-based segmentation: Application to magnetic resonance brain scansEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: Based on these experiments MRF agent-based approach appears to be a very promising new tool for complex image segmentation. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - April 20, 2009 Category: Bioinformatics Authors: Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay Tags: Special Issue Articles Source Type: journals

Adaptive resource allocation for efficient patient schedulingEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We present an adaptive approach to automatic optimization of resource calendars. In our approach, the allocation of capacity to different patient groups is flexible and adaptive to the current and expected future situation. We additionally present an approach to determine optimal resource openings hours on a larger time frame. Our model and its parameter values are based on extensive case analysis at the Academic Medical Hospital Amsterdam.Results and conclusion: We have implemented a comprehensive computer simulation of the application case. Simulation experiments show that our approach of adaptive capacity allocation imp...
Source: Artificial Intelligence in Medicine - April 20, 2009 Category: Bioinformatics Authors: Ivan B. Vermeulen, Sander M. Bohte, Sylvia G. Elkhuizen, Han Lameris, Piet J.M. Bakker, Han La Poutré Tags: Special Issue Articles Source Type: journals

Versioning computer-interpretable guidelines: Semi-automatic modeling of ‘Living Guidelines’ using an information extraction methodEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusion: We propose a simple, time-saving, but effective method called LASSIE to formalize new guideline versions of previously formalized CPGs. Furthermore, models that have been added or modified by knowledge engineers in previous versions can also be transferred easily. This will result in a faster implementation of new guideline versions also known as living guidelines to provide up-to-date knowledge necessary for accomplishing the daily work of health care professionals. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - April 20, 2009 Category: Bioinformatics Authors: Katharina Kaiser, Silvia Miksch Tags: Special Issue Articles Source Type: journals

Temporal similarity measures for querying clinical workflowsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Summary: Objective: In this paper, we extend a preliminary proposal and discuss in a deeper and more formal way an approach to evaluate temporal similarity between clinical workflow cases (i.e., executions of clinical processes). More precisely, we focus on (i) the representation of clinical processes by using a temporal conceptual workflow model; (ii) the definition of ad hoc temporal constraint networks to formally represent clinical workflow cases; (iii) the definition of temporal similarity for clinical workflow cases based on the comparison of temporal constraint networks; (iv) the management of the similarity of clin...
Source: Artificial Intelligence in Medicine - April 20, 2009 Category: Bioinformatics Authors: Carlo Combi, Matteo Gozzi, Barbara Oliboni, Jose M. Juarez, Roque Marin Tags: Special Issue Articles Source Type: journals

Using model checking for critiquing based on clinical guidelinesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Summary: Objective: Medical critiquing systems compare clinical actions performed by a physician with a predefined set of actions. In order to provide useful feedback, an important task is to find differences between the actual actions and a set of ‘ideal’ actions as described by a clinical guideline. In case differences exist, the critiquing system provides insight into the extent to which they are compatible.Methods and material: We propose a computational method for such critiquing, where the ideal actions are given by a formal model of a clinical guideline, and where the actual actions are derived from real world p...
Source: Artificial Intelligence in Medicine - April 20, 2009 Category: Bioinformatics Authors: Perry Groot, Arjen Hommersom, Peter J.F. Lucas, Robbert-Jan Merk, Annette ten Teije, Frank van Harmelen, Radu Serban Tags: Special Issue Articles Source Type: journals

The coming of age of artificial intelligence in medicineEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Summary: This paper is based on a panel discussion held at the Artificial Intelligence in Medicine Europe (AIME) conference in Amsterdam, The Netherlands, in July 2007. It had been more than 15 years since Edward Shortliffe gave a talk at AIME in which he characterized artificial intelligence (AI) in medicine as being in its “adolescence” (Shortliffe EH. The adolescence of AI in medicine: will the field come of age in the ‘90s? Artificial Intelligence in Medicine 1993;5:93–106). In this article, the discussants reflect on medical AI research during the subsequent years and characterize the maturity and influence th...
Source: Artificial Intelligence in Medicine - April 20, 2009 Category: Bioinformatics Authors: Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli, Peter Szolovits, Michael R. Berthold, Riccardo Bellazzi, Ameen Abu-Hanna Tags: Position Paper Source Type: journals

Artificial intelligence in medicine AIME’07Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This Special Issue of the journal Artificial Intelligence in Medicine contains selected papers from the 11th Conference on Artificial Intelligence in Medicine, held in Amsterdam, The Netherlands on 7–11 July 2007. The AIME conferences, held biennially, form the main activity of the European Society for Artificial Intelligence in Medicine (AIME). This society was established in 1986 following a successful workshop held in Pavia, Italy, the year before. The principal aims of the AIME society are to foster fundamental and applied research in the application of artificial intelligence (AI) techniques to medical care and medi...
Source: Artificial Intelligence in Medicine - April 20, 2009 Category: Bioinformatics Authors: Riccardo Bellazzi, Ameen Abu-Hanna Tags: Guest Editorial Source Type: journals

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(Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - April 20, 2009 Category: Bioinformatics Source Type: journals

Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples.Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
CONCLUSIONS: From a practical point of view, the implications of the research reported here may be helpful to address the construction of cheap and reliable prediction systems in accordance with the peculiarities of ICUs and kinds of patients. PMID: 19185475 [PubMed - as supplied by publisher] (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - January 28, 2009 Category: Bioinformatics Authors: Luaces O, Taboada F, Albaiceta GM, Domínguez LA, Enríquez P, Bahamonde A, Tags: Artif Intell Med Source Type: journals