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 'Artificial Intelligence in Medicine' source. Thu, 09 Feb 2012 22:12:25 +0100 http://www.medworm.com/index.php?rid=5617681&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001680%2Fabstract%3Frss%3Dyes The application of medical ontologies is discussed in articles by Mabotuwana and Warren and Travillian et al. , and a report by Bodenreider et al. describes an investigation with SNOMED CT . We will add to these discussions and describe our efforts to translate and localize SNOMED CT for use in China. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5617681 Sun, 22 Jan 2012 03:06:39 +0100 5617681 http://www.medworm.com/index.php?rid=5617680&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571100145X%2Fabstract%3Frss%3Dyes Conclusions: : Since the estimation performance is better than the confidence interval of Wechsler scales (five IQ points), we consider models built very accurate and reliable and they can be used into help clinical diagnosis. Therefore a computer software based on the results of our work is currently used in a clinical center and empirical trails confirm its validity. Furthermore positive results in our multivariate studies suggest new approaches for clinicians. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5617680 Sun, 22 Jan 2012 03:06:39 +0100 5617680 http://www.medworm.com/index.php?rid=5617679&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001369%2Fabstract%3Frss%3Dyes Conclusions: A complete algorithm of the construction of granular prototypes is presented. Treating the granular prototype as a template of a given class of electrocardiogram (ECG) signals, a matching process is facilitated and used as a basis for the design of signal classification algorithms. Various realizations of granular prototypes can be completed with the use of fuzzy sets or rough sets. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5617679 Sun, 22 Jan 2012 03:06:39 +0100 5617679 http://www.medworm.com/index.php?rid=5617678&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001205%2Fabstract%3Frss%3Dyes Conclusion: The proposed tracking algorithm sucessfuly increases the temporal resolution of detecting ICP pulse morphological changes from the minute-level to the beat-level. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5617678 Sun, 22 Jan 2012 03:06:39 +0100 5617678 http://www.medworm.com/index.php?rid=5617677&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001448%2Fabstract%3Frss%3Dyes Conclusion: For clinical data consisting of variables of different types, the proposed kernel function – which takes into account the type and range of each variable – has shown to be a better alternative for linear and non-linear classification problems. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5617677 Sun, 22 Jan 2012 03:06:39 +0100 5617677 http://www.medworm.com/index.php?rid=5617676&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001424%2Fabstract%3Frss%3Dyes Discussion and conclusions: In this work we have considered the issue of visually composing and querying temporal clinical patient data. In this context we have proposed a visual framework for the specification of consistent temporal abstractions with different granularities and for the visual composition of different temporal abstractions to build (possibly) complex queries on clinical databases. A new algorithm has been proposed to check the consistency of the specified granular abstraction. From the evaluation of the proposed metaphors and interfaces and from the comparison of the visual query language with a well known visual method for boolean queries, the soundness of the overall system has been confirmed; moreover, pros and cons and possible improvements emerged from the comparison ... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5617676 Sun, 22 Jan 2012 03:06:39 +0100 5617676 http://www.medworm.com/index.php?rid=5617675&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365712000036%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5617675 Sun, 22 Jan 2012 03:06:39 +0100 5617675 http://www.medworm.com/index.php?rid=5513109&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001217%2Fabstract%3Frss%3Dyes In the paper by Grando et al. , the authors use formal methods to prove whether a computer-interpretable guideline modeling language satisfies a set of control-flow workflow patterns . They contrast the formal proof with an earlier informal analysis in which we had compared different guideline modeling languages according to workflow patterns that they supported. Grando et al. find differences between their analysis and our analysis on the support of certain patterns by the PROforma guideline modeling language and conclude that “As tools for comparing languages these formal techniques make misinterpretation of the semantics of target patterns less likely, add much-needed rigor and give greater confidence in the results, but they cannot guarantee that all language features have been fully... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5513109 Sat, 17 Dec 2011 15:37:49 +0100 5513109 http://www.medworm.com/index.php?rid=5513108&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001230%2Fabstract%3Frss%3Dyes Conclusion: Semi-supervised learning improved ability to study disease genes, especially a specific disease when the known disease genes (as labeled data) are very often limited. In addition to the computational improvement, the analysis of predicted disease proteins indicates that the findings are beneficial in deciphering the pathogenic mechanisms. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5513108 Sat, 17 Dec 2011 15:37:49 +0100 5513108 http://www.medworm.com/index.php?rid=5513107&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001229%2Fabstract%3Frss%3Dyes Conclusion: BNs are valuable data mining tools for the analysis of epidemiologic data. They can explicitly combine both expert knowledge from the field and information inferred from the data. These techniques therefore merit consideration as valuable alternatives to traditional multivariate regression techniques in epidemiologic studies. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5513107 Sat, 17 Dec 2011 15:37:49 +0100 5513107 http://www.medworm.com/index.php?rid=5513106&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001242%2Fabstract%3Frss%3Dyes Conclusion: This study demonstrates the effectiveness and superiority of the proposed approach for ECG beat recognition. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5513106 Sat, 17 Dec 2011 15:37:49 +0100 5513106 http://www.medworm.com/index.php?rid=5513105&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001254%2Fabstract%3Frss%3Dyes Conclusions: To conclude, a methodology has been developed that enables a prosthetist to quantitatively analyse the distribution of pressures within the prosthetic socket in a clinical environment. This will aid in facilitating the “right first time” approach to socket fitting which will benefit both the patient in terms of comfort and the prosthetist, by reducing the time and associated costs of providing a high level of socket fit. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5513105 Sat, 17 Dec 2011 15:37:48 +0100 5513105 http://www.medworm.com/index.php?rid=5513104&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001394%2Fabstract%3Frss%3Dyes The objective of this work is to introduce a set of similarity metrics for comparing surgical process models (SPMs). SPMs are progression models of surgical interventions that support quantitative analyses of surgical activities, supporting systems engineering or process optimization.Methods and materials: Five different similarity metrics are presented and proven. These metrics deal with several dimensions of process compliance in surgery, including granularity, content, time, order, and frequency of surgical activities. The metrics were experimentally validated using 20 clinical data sets each for cataract interventions, craniotomy interventions, and supratentorial tumor resections. The clinical data sets were controllably modified in simulations, which were iterated ten times, resulting... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5513104 Sat, 17 Dec 2011 15:37:48 +0100 5513104 http://www.medworm.com/index.php?rid=5513103&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000935%2Fabstract%3Frss%3Dyes Conclusion: The proof strategies we propose are useful tools for analysing the expressiveness of CIG modeling languages. This study provides good evidence of the benefits of applying formal methods of proof over semi-formal ones. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5513103 Sat, 17 Dec 2011 15:37:48 +0100 5513103 http://www.medworm.com/index.php?rid=5513102&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001606%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5513102 Sat, 17 Dec 2011 15:37:48 +0100 5513102 http://www.medworm.com/index.php?rid=5311701&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001333%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5311701 Thu, 13 Oct 2011 16:59:31 +0100 5311701 http://www.medworm.com/index.php?rid=5311700&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001321%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5311700 Thu, 13 Oct 2011 16:59:31 +0100 5311700 http://www.medworm.com/index.php?rid=5311699&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001175%2Fabstract%3Frss%3Dyes Conclusion: Our method outperforms up-to-date techniques and only a few parameters need to be optimized on a limited training set. It is therefore suited as an automatic aid for epilepsy researchers and is able to eliminate the tedious manual review and annotation of EEG. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5311699 Thu, 13 Oct 2011 16:59:31 +0100 5311699 http://www.medworm.com/index.php?rid=5311698&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001060%2Fabstract%3Frss%3Dyes Conclusions: The results suggest that the HVS model with the hierarchical hidden state structure is indeed more suitable for complex event extraction since it could naturally model embedded structural context in sentences. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5311698 Thu, 13 Oct 2011 16:59:31 +0100 5311698 http://www.medworm.com/index.php?rid=5311697&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001084%2Fabstract%3Frss%3Dyes Conclusion: Hybrid causal learning of BNs is an important emerging technology. We present methods for incorporating it into the knowledge engineering process, including visualisation and analysis of the learned networks. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5311697 Thu, 13 Oct 2011 16:59:31 +0100 5311697 http://www.medworm.com/index.php?rid=5311696&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001072%2Fabstract%3Frss%3Dyes Conclusions: The overall accuracy and the response time of the system will improve with time, especially when the confidence mechanism is activated through clinicians’ interactions with the system. This system will be implemented in a clinical information system to drive interactive decision support and analysis functions leading to improved patient care and outcomes. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5311696 Thu, 13 Oct 2011 16:59:31 +0100 5311696 http://www.medworm.com/index.php?rid=5311695&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001059%2Fabstract%3Frss%3Dyes Conclusions: The different experiments we present here show that corpus based approaches can yield good prediction results in the problem of language impairment detection. These findings warrant further exploration of natural language processing techniques in the field of communication disorders. Moreover, the proposed framework can be easily adapted to analyze samples in languages other than English since most of the features are language independent or can be customized with little effort. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5311695 Thu, 13 Oct 2011 16:59:31 +0100 5311695 http://www.medworm.com/index.php?rid=5311694&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001096%2Fabstract%3Frss%3Dyes Conclusions: The proposed patterns are generic and abstract enough to capture the normal and abnormal scenarios of assignment and delegation of tasks in collaborative work in health care teams. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5311694 Thu, 13 Oct 2011 16:59:31 +0100 5311694 http://www.medworm.com/index.php?rid=5311693&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571100128X%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5311693 Thu, 13 Oct 2011 16:59:31 +0100 5311693 http://www.medworm.com/index.php?rid=5204976&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571100056X%2Fabstract%3Frss%3Dyes Conclusion: An effective system for estimate of blood glucose and blood pressure from a photoplethysmograph is presented. The main advantage of the system is that for clinical use it complies with the grade B protocol of the British Hypertension society for the blood pressure and only in 1.9% of the cases did not detect hypoglycemia or hyperglycemia. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5204976 Sun, 11 Sep 2011 05:29:29 +0100 5204976 http://www.medworm.com/index.php?rid=5204975&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001035%2Fabstract%3Frss%3Dyes Conclusions: In this study we propose a fast and automated way of processing Raman spectra for cell death discrimination, using a feature selection algorithm that not only enhances the classification accuracy, but also gives more insight in the undergoing cell death process. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5204975 Sun, 11 Sep 2011 05:29:28 +0100 5204975 http://www.medworm.com/index.php?rid=5204974&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000765%2Fabstract%3Frss%3Dyes Conclusions: This work gives empirical evidence that svm-based models using regression constraints perform significantly better than svm-based models based on ranking constraints. Our experiments show a comparable performance for methods including only regression or both regression and ranking constraints on clinical data. On high dimensional data, the former model performs better. However, this approach does not have a theoretical link with standard statistical models for survival data. This link can be made by means of transformation models when ranking constraints are included. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5204974 Sun, 11 Sep 2011 05:29:28 +0100 5204974 http://www.medworm.com/index.php?rid=5204973&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000777%2Fabstract%3Frss%3Dyes Conclusions: Our findings demonstrate that both ApEn and SampEn are very sensitive to the presence of spikes. Abnormal spikes should be removed, if possible, from signals before computing ApEn or SampEn. Otherwise, the results can lead to misunderstandings or misclassification of the signal regularity. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5204973 Sun, 11 Sep 2011 05:29:28 +0100 5204973 http://www.medworm.com/index.php?rid=5204972&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001047%2Fabstract%3Frss%3Dyes Conclusions: Overall, the results evidence that all kernel machines are competitive in terms of accuracy, with the standard and least squares SVMs prevailing more consistently. Moreover, the choice of the kernel function and parameter value as well as the choice of the feature extractor are critical decisions to be taken, albeit the choice of the wavelet family seems not to be so relevant. Also, the statistical values calculated over the Lyapunov exponents were good sources of signal representation, but not as informative as their wavelet counterparts. Finally, a typical sensitivity profile has emerged among all types of machines, involving some regions of stability separated by zones of sharp variation, with some kernel parameter values clearly associated with better accuracy rates (zones... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5204972 Sun, 11 Sep 2011 05:29:28 +0100 5204972 http://www.medworm.com/index.php?rid=5204971&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000613%2Fabstract%3Frss%3Dyes Conclusions: The performance of the optimal policy is competitive with the operational and economic metrics considered in this paper. Such a policy can be implemented relatively easily and could be tested in practice in the future. The priority-based heuristics are next-best to the optimal policy and are much easier to implement. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5204971 Sun, 11 Sep 2011 05:29:28 +0100 5204971 http://www.medworm.com/index.php?rid=5204970&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711001114%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5204970 Sun, 11 Sep 2011 05:29:28 +0100 5204970 http://www.medworm.com/index.php?rid=5085510&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571100073X%2Fabstract%3Frss%3Dyes Abstract: Objective: Gene expression patterns that distinguish clinically significant disease subclasses may not only play a prominent role in diagnosis, but also lead to the therapeutic strategies tailoring the treatment to the particular biology of each disease. Nevertheless, gene expression signatures derived through statistical feature-extraction procedures on population datasets have received rightful criticism, since they share few genes in common, even when derived from the same dataset. We focus on knowledge complementarities conveyed by two or more gene-expression signatures by means of embedded biological processes and pathways, which alternatively form a meta-knowledge platform of analysis towards a more global, robust and powerful solution.Methods: The main contribution of this... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5085510 Tue, 02 Aug 2011 05:29:40 +0100 5085510 http://www.medworm.com/index.php?rid=5085509&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000923%2Fabstract%3Frss%3Dyes Conclusions: The results show that the GANN model has successfully extracted statistically significant genes from the unpreprocessed microarray data as well as extracting known biologically significant genes. We also show that assessing the biological significance of genes based on classification accuracy may be misleading and though the GANN's set of extra genes prove to be more statistically significant than those selected by other methods, a biological assessment of these genes is highly recommended to confirm their functionality. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5085509 Tue, 02 Aug 2011 05:29:40 +0100 5085509 http://www.medworm.com/index.php?rid=5085508&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000601%2Fabstract%3Frss%3Dyes Conclusions: The method is advantageous since it is fully automated and for the first time the diagnosis and staging of the disease are addressed using fMRI. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5085508 Tue, 02 Aug 2011 05:29:40 +0100 5085508 http://www.medworm.com/index.php?rid=5085507&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000741%2Fabstract%3Frss%3Dyes Conclusions: We have shown that 4–14 carefully selected polysomnographic features were sufficient for successful sleep scoring. The efficiency of the corresponding automatic classifiers was verified and conclusively demonstrated on all-night recordings from healthy adults. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5085507 Tue, 02 Aug 2011 05:29:39 +0100 5085507 http://www.medworm.com/index.php?rid=5085506&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000728%2Fabstract%3Frss%3Dyes Conclusions: After comparing the five single and hybrid models, the study found BPN–CBR the best model capable of helping physicians to determine the existence of liver disease, achieve an accurate diagnosis, diminish the possibility of a false diagnosis being given to sick people, and avoid the delay of clinical treatment. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5085506 Tue, 02 Aug 2011 05:29:39 +0100 5085506 http://www.medworm.com/index.php?rid=5085505&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000753%2Fabstract%3Frss%3Dyes Conclusion: The method proposed is proved to be an efficient approach to biomedical literature summarisation, which confirms that the use of concepts rather than terms can be very useful in automatic summarisation, especially when dealing with highly specialised domains. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5085505 Tue, 02 Aug 2011 05:29:39 +0100 5085505 http://www.medworm.com/index.php?rid=5085504&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000959%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5085504 Tue, 02 Aug 2011 05:29:39 +0100 5085504 http://www.medworm.com/index.php?rid=5007163&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000844%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007163 Thu, 30 Jun 2011 23:00:00 +0100 5007163 http://www.medworm.com/index.php?rid=5007162&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000832%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007162 Thu, 30 Jun 2011 23:00:00 +0100 5007162 http://www.medworm.com/index.php?rid=5007161&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000455%2Fabstract%3Frss%3Dyes We read with interest the article of Doctor and Strylewicz , who developed a Bayesian network for accurately identifying mismatched specimens. This is indeed a valuable enterprise for decreasing the errors in the preanalytical phase, which still represent the most vulnerable part of the total testing process . It is also noteworthy that although patient misidentification does not account for the majority of preanalytical errors, it is however associated with the worst clinical outcomes due to the potential for misdiagnosis and inappropriate therapy . While the model developed by Doctor and Strylewicz performs satisfactory for the scope that it has been developed, even better than an error detection software and human experts recruited from the American Academy of Clinical Chemists, we sugg... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007161 Thu, 30 Jun 2011 23:00:00 +0100 5007161 http://www.medworm.com/index.php?rid=5007160&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000571%2Fabstract%3Frss%3Dyes Conclusions: Collaborative control adapts to the person’s needs and assists him/her when necessary, locally compensating any problem related to specific disabilities. An ANOVA returned a p-value of 0.016, meaning that there is significant improvement in task performance when collaborative control is used. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007160 Thu, 30 Jun 2011 23:00:00 +0100 5007160 http://www.medworm.com/index.php?rid=5007159&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000534%2Fabstract%3Frss%3Dyes Conclusions: Intraoperative complexity can be predicted before surgery according to preoperative data with accuracy up to 83% using an LDC or SVM classifier. The set of features that are relevant for predicting complexity includes inflammation, wall thickening, sex and BMI score. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007159 Thu, 30 Jun 2011 23:00:00 +0100 5007159 http://www.medworm.com/index.php?rid=5007158&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000595%2Fabstract%3Frss%3Dyes Conclusions: The IPDE-SQ items have better discriminative abilities than the BIS-11 items for classifying SA. Moreover, IPDE-SQ is able to obtain better SA and non-SA classification results than the BIS-11. In addition, SVM outperformed the other classification techniques in both questionnaires. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007158 Thu, 30 Jun 2011 23:00:00 +0100 5007158 http://www.medworm.com/index.php?rid=5007157&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000339%2Fabstract%3Frss%3Dyes In this study, we apply the CL-based approach to a larger sample of patients from two departments (Nephrology and Internal Medicine) with the aim of finding the most effective and interpretable feature sets and classification models for a fast and accurate identification of several infectious diseases.Materials and methods: Whole blood samples were collected from 78 patients (comprising 115 instances) with respiratory infections, infections associated with renal replacement therapy and patients without infections. CL kinetic parameters were calculated for each case, which was assigned into a specific clinical group according to the available clinical diagnostics. Feature selection wrapper and filter methods were applied to remove the irrelevant and redundant features and to improve the pre... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007157 Thu, 30 Jun 2011 23:00:00 +0100 5007157 http://www.medworm.com/index.php?rid=5007156&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000583%2Fabstract%3Frss%3Dyes Conclusions: Redundant ST assignments have typically arisen for organic composite chemical concepts. A methodology for dealing with this kind of erroneous configuration, capturing the proper category for a composite chemical, is presented and demonstrated. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007156 Thu, 30 Jun 2011 23:00:00 +0100 5007156 http://www.medworm.com/index.php?rid=5007155&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000340%2Fabstract%3Frss%3Dyes Conclusion: This study shows that IB methods – most notably, the optimized k-NNC and the PEL-C – can be used and may be advantageous for clinical decision support systems and that IB classifiers can be used for nosological knowledge extraction. Because PEL-C uses more compact and potentially meaningful class descriptions, it is preferable when the diagnostic problem at-hand needs smaller storage space or for knowledge extraction itself. The complexity and responsibility of diagnostic practice requires that these results be confirmed further within other clinical domains. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007155 Thu, 30 Jun 2011 23:00:00 +0100 5007155 http://www.medworm.com/index.php?rid=5007154&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000790%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=5007154 Thu, 30 Jun 2011 23:00:00 +0100 5007154 http://www.medworm.com/index.php?rid=4997235&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000352%2Fabstract%3Frss%3Dyes Conclusion: In this work, we introduce our VR dental training simulator and describe a mechanism for providing objective skill assessment and feedback. The HMM is demonstrated as an effective tool for classifying a particular operator as novice-level or expert-level. The simulator can generate tutoring feedback with quality comparable to the feedback provided by human tutors. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4997235 Tue, 31 May 2011 23:00:00 +0100 4997235 http://www.medworm.com/index.php?rid=4997234&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000522%2Fabstract%3Frss%3Dyes Conclusion: In this paper we present a large terminological resource, compiled through the aggregation of a number of different manually curated sources. We discuss the lexical properties of such resources, specifically the degree of ambiguity of the terms, and we inspect the causes of such ambiguity, in particular for protein names. This information is of vital importance for the implementation of an efficient term normalization and grounding algorithm. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4997234 Tue, 31 May 2011 23:00:00 +0100 4997234 http://www.medworm.com/index.php?rid=4997233&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000510%2Fabstract%3Frss%3Dyes Conclusions: The experimental evidence suggests that the bag-of-features representation is a good alternative to represent visual content in histology images. The proposed method exploits this representation to perform visual pattern mining from a wider perspective where the focus is the image collection as a whole, rather than individual images. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4997233 Tue, 31 May 2011 23:00:00 +0100 4997233 http://www.medworm.com/index.php?rid=4997232&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000509%2Fabstract%3Frss%3Dyes Conclusions: Multi-resolution image parameterization equals or even betters that of the physicians in terms of the diagnostic quality of image parameters. By using these parameters for building machine learning classifiers, we can significantly improve diagnostic performance with respect to the results of clinical practice, affect process rationalization, as well as possibly provide novel insights into the diagnostic problems, features and/or processes. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4997232 Tue, 31 May 2011 23:00:00 +0100 4997232 http://www.medworm.com/index.php?rid=4997231&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000492%2Fabstract%3Frss%3Dyes Conclusion: We have shown the feasibility of case-based beam generation for robotic radiosurgery. For prevalent clinical cases with similar anatomy the cased-based approach could substantially reduce planning time while maintaining high plan quality. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4997231 Tue, 31 May 2011 23:00:00 +0100 4997231 http://www.medworm.com/index.php?rid=4997230&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000480%2Fabstract%3Frss%3Dyes Conclusion: Our results demonstrate the ability of iNN(k) to provide high levels of accuracy on most of the selected datasets, while often requiring the user to provide only a small subset of the features in a complete problem description, and enabling a CCBR system to explain the relevance of any question it asks the user. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4997230 Tue, 31 May 2011 23:00:00 +0100 4997230 http://www.medworm.com/index.php?rid=4997229&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000479%2Fabstract%3Frss%3Dyes The Twelfth European Conference on Artificial Intelligence in Medicine (AIME 2009), chaired by Carlo Combi (University of Verona, Verona, Italy) and Yuval Shahar (Ben Gurion University, Beer Sheva, Israel), was held in Verona, Italy, during July 18th–22nd, 2009. The conference included also several specialized workshops and was considered quite successful by most participants. Continuing a tradition started at AIME 2005, a doctoral consortium was held and included a tutorial on how to evaluate probabilistic models and discussions about the contents of the students’ doctoral theses by a scientific panel. As a novelty of AIME 2009, a significant number of full-day workshops were organized prior to the AIME 2009 main conference: the workshops “KR4HC 2009, Knowledge Representation for He... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4997229 Tue, 31 May 2011 23:00:00 +0100 4997229 http://www.medworm.com/index.php?rid=4997228&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000467%2Fabstract%3Frss%3Dyes Professor Mario Stefanelli died from a hemorrhagic stroke at the Fondazione C. Mondino Hospital in Pavia on October 19, 2010. He was born on May 15, 1945 and was a Professor of Bioengineering and Artificial Intelligence in Medicine at the University of Pavia since 2001 (from 1983 to 2001 he was a Professor of Control Engineering). He has been a member of several editorial boards of prestigious international journals, including the Journal of Biomedical Informatics, the International Journal of Medical Informatics, Methods of Information in Medicine, and Artificial Intelligence in Medicine (AIIM). He had several duties and responsibilities both at the academic level at the University of Pavia, where he established the Committee for the Evaluation of University Performance, in the organizati... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4997228 Tue, 31 May 2011 23:00:00 +0100 4997228 http://www.medworm.com/index.php?rid=4997227&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000637%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4997227 Tue, 31 May 2011 23:00:00 +0100 4997227 http://www.medworm.com/index.php?rid=4840238&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000182%2Fabstract%3Frss%3Dyes Conclusion: This paper has shown that feature extraction is important as a function of feature selection for efficient data analysis. When the data set is small, using the fuzzy-based transformation method presented in this work to increase the information available produces better results than the PCA and KPCA approaches. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4840238 Sat, 30 Apr 2011 23:00:00 +0100 4840238 http://www.medworm.com/index.php?rid=4840237&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000054%2Fabstract%3Frss%3Dyes Conclusions: The proposed S-FSLVQ is a good competitive learning algorithm that is very suitable for segmenting the ophthalmological MRI data sets. Therefore, the S-FSLVQ algorithm is highly recommended for use in MRI segmentation as an aid for supportive diagnoses. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4840237 Sat, 30 Apr 2011 23:00:00 +0100 4840237 http://www.medworm.com/index.php?rid=4840236&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000030%2Fabstract%3Frss%3Dyes Conclusion: We have shown that for cardiovascular system regulation, our proposed nonlinear model is more accurate than other recently developed methods. Accurate HR baroreflex modeling enables clinicians to have more reliable information for their patients. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4840236 Sat, 30 Apr 2011 23:00:00 +0100 4840236 http://www.medworm.com/index.php?rid=4840235&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000327%2Fabstract%3Frss%3Dyes Conclusions: This exploratory study confirms that dual-axis accelerometry and nasal airflow signals can be used to discriminate healthy and abnormal swallows from patients with dysphagia. The fact that features from all signal channels contributed discriminatory information suggests that multi-sensor fusion is promising in abnormal swallow detection. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4840235 Sat, 30 Apr 2011 23:00:00 +0100 4840235 http://www.medworm.com/index.php?rid=4840234&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000042%2Fabstract%3Frss%3Dyes Conclusion: The proposed scheme using color texture features and classifier ensemble is promising for small bowel tumor detection in capsule endoscopy images. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4840234 Sat, 30 Apr 2011 23:00:00 +0100 4840234 http://www.medworm.com/index.php?rid=4840233&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000315%2Fabstract%3Frss%3Dyes Conclusion: In summary, this paper proposed a new machine learning method for complex systems by integrating the AIS system with RBFPLS. This new method demonstrates its satisfactory effect on classification accuracy for clinical diagnosis, and also indicates its wide potential applications to other diagnosis and detection problems. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4840233 Sat, 30 Apr 2011 23:00:00 +0100 4840233 http://www.medworm.com/index.php?rid=4840232&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000376%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4840232 Sat, 30 Apr 2011 23:00:00 +0100 4840232 http://www.medworm.com/index.php?rid=4714278&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571100025X%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4714278 Tue, 01 Mar 2011 00:00:00 +0100 4714278 http://www.medworm.com/index.php?rid=4714277&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000248%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4714277 Tue, 01 Mar 2011 00:00:00 +0100 4714277 http://www.medworm.com/index.php?rid=4714276&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001211%2Fabstract%3Frss%3Dyes Conclusion: The paper proposed an automated diagnostic system for the PCOS using ultrasound images, which consists of two major functional blocks: preprocessing phase and follicle identification based on object growing. Experimental results showed that the proposed system is very effective in follicle identification for PCOS diagnosis. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4714276 Tue, 01 Mar 2011 00:00:00 +0100 4714276 http://www.medworm.com/index.php?rid=4714275&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001399%2Fabstract%3Frss%3Dyes Conclusions: The proposed method is useful for enhancing template-free activation detection in event-related fMRI data. It is of significant interest to extend the present framework to produce comprehensive, adaptive and fully automated preprocessing of fMRI data optimally suited for subsequent data analysis steps. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4714275 Tue, 01 Mar 2011 00:00:00 +0100 4714275 http://www.medworm.com/index.php?rid=4714274&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001193%2Fabstract%3Frss%3Dyes Conclusions: Analysis shows that the proposed combination of 11 linear and nonlinear HRV features gives high classification accuracy when nonlinear features are extracted for five periods. The features’ combination was thoroughly analyzed using several machine learning algorithms. In particular, RF algorithm proved to be highly efficient and accurate in both binary and multiclass classification of HRV records. Interpretable and useful rules were obtained with C4.5 decision tree. Further work in this area should elucidate which features should be extracted for the best classification results for specific types of cardiac disorders. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4714274 Tue, 01 Mar 2011 00:00:00 +0100 4714274 http://www.medworm.com/index.php?rid=4714273&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001405%2Fabstract%3Frss%3Dyes Conclusions: As different kernels calculate the similarity between two sentences from different aspects. Our combined kernel can reduce the risk of missing important features. More specifically, we use a weighted linear combination of individual kernels instead of assigning the same weight to each individual kernel, thus allowing the introduction of each kernel to incrementally contribute to the performance improvement. In addition, SPT and dependency path tree extensions can improve the performance by including richer context information. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4714273 Tue, 01 Mar 2011 00:00:00 +0100 4714273 http://www.medworm.com/index.php?rid=4714272&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001417%2Fabstract%3Frss%3Dyes Conclusions: The presented four-level approach allows for capturing the knowledge of the surgical intervention formally. Natural language terms are consistently translated to an implementation level to support research fields where users express their expert knowledge about processes in natural language, but, in contrast to this, statistical analysis or data mining need to be performed based on mathematically formalized data sets. The availability of such a translational approach is a valuable extension for research regarding the operating room of the future. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4714272 Tue, 01 Mar 2011 00:00:00 +0100 4714272 http://www.medworm.com/index.php?rid=4714271&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000200%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4714271 Tue, 01 Mar 2011 00:00:00 +0100 4714271 http://www.medworm.com/index.php?rid=4591084&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001387%2Fabstract%3Frss%3Dyes Conclusion: We have proposed a new CBR method called cost-sensitive case-based reasoning (CSCBR) that can incorporate unequal misclassification costs into CBR and optimize the number of neighbors dynamically using a genetic algorithm. It is meaningful not only for introducing the concept of cost-sensitive learning to CBR, but also for encouraging the use of CBR in the medical area. The result shows that the total misclassification costs of CSCBR do not increase in arithmetic progression as the cost of false absence increases arithmetically, thus it is cost-sensitive. We also show that total misclassification costs of CSCBR are the lowest among all methods in four datasets out of five and the result is statistically significant in many cases. The limitation of our proposed CSCBR is confined... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4591084 Tue, 01 Feb 2011 00:00:00 +0100 4591084 http://www.medworm.com/index.php?rid=4591083&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001181%2Fabstract%3Frss%3Dyes Conclusions: Innovative applications of the contextual knowledge recorded in the case library, described and systematized in this paper, can trace promising research directions for the future. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4591083 Tue, 01 Feb 2011 00:00:00 +0100 4591083 http://www.medworm.com/index.php?rid=4591082&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001429%2Fabstract%3Frss%3Dyes Conclusions: We conclude that incorporating case authoring functionality and a generic retrieval mechanism were key to successful integration of ExcelicareCBR. This paper also demonstrates how the application of CBR can enable sharing of lessons learned through the retrieval and reuse of EPRs captured as cases in a case base. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4591082 Tue, 01 Feb 2011 00:00:00 +0100 4591082 http://www.medworm.com/index.php?rid=4591081&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571000117X%2Fabstract%3Frss%3Dyes Abstract: Objective: Biofeedback is today a recognized treatment method for a number of physical and psychological problems. Experienced clinicians often achieve good results in these areas and their success largely builds on many years of experience and often thousands of treated patients. Unfortunately many of the areas where biofeedback is used are very complex, e.g. diagnosis and treatment of stress. Less experienced clinicians may even have difficulties to initially classify the patient correctly. Often there are only a few experts available to assist less experienced clinicians. To reduce this problem we propose a computer-assisted biofeedback system helping in classification, parameter setting and biofeedback training.Methods: The decision support system (DSS) analysis finger temper... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4591081 Tue, 01 Feb 2011 00:00:00 +0100 4591081 http://www.medworm.com/index.php?rid=4591080&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001156%2Fabstract%3Frss%3Dyes Conclusions: We can conclude that LazyCL that uses explained case-based reasoning for knowledge discovery is feasible for constructing a domain theory. On one hand, experiments on the melanoma database show that the domain theory build by LazyCL is easy to understand. Explanations provided by LID are easily understood by domain experts since these descriptions involve the same attributes than they used to represent domain objects. On the other hand, experiments on standard machine learning data sets show that LazyCL is a good method of clustering since all clusters produced are correct. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4591080 Tue, 01 Feb 2011 00:00:00 +0100 4591080 http://www.medworm.com/index.php?rid=4591079&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001168%2Fabstract%3Frss%3Dyes Conclusions: Although several tools have been developed to facilitate the rapid construction of prototypes, none of them has taken into account the particularities of medical applications as an appropriate interface to medical users. eXiT*CBR aims to fill this gap. It uses CBR methods and common medical visualization tools, such as ROC plots, that facilitate the interpretation of the results. The navigation capabilities of this tool allow the tuning of different CBR parameters using experimental results. In addition, the tool allows experiment reproducibility. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4591079 Tue, 01 Feb 2011 00:00:00 +0100 4591079 http://www.medworm.com/index.php?rid=4591078&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000029%2Fabstract%3Frss%3Dyes This is the third special issue of the international journal Artificial Intelligence in Medicine dedicated to case-based reasoning (CBR) in the health sciences. The field has developed in particular fostered by the organization of workshops conducted at ICCBR-03, ECCBR-04, ICCBR-05, ECCBR-06, ICCBR-07, ECCBR-08, and ICCBR-09. Additionally journals special issues on CBR in the Health Sciences have been published in Artificial Intelligence in Medicine, Computational Intelligence, and Applied Intelligence. The 6th Workshop on case-based reasoning in the health sciences, which took place at ECCBR-08 in Trier, Germany, was the opportunity to organize this special issue based on the five best papers presented at the workshop, as well as one other paper submitted separately. (Source: Artificial I... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4591078 Tue, 01 Feb 2011 00:00:00 +0100 4591078 http://www.medworm.com/index.php?rid=4591077&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365711000078%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4591077 Tue, 01 Feb 2011 00:00:00 +0100 4591077 http://www.medworm.com/index.php?rid=4371042&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000709%2Fabstract%3Frss%3Dyes Conclusions: The described recognition system can be applied in daily routine in order to improve the reliability, standardisation and reproducibility of CL readings in IIF. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4371042 Sat, 01 Jan 2011 00:00:00 +0100 4371042 http://www.medworm.com/index.php?rid=4371041&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000771%2Fabstract%3Frss%3Dyes Conclusion: The use of the evolutionary technique for fibrosis degree prediction triggers simplicity and offers a direct expression of the influence of dynamically selected indicators on the corresponding stage. Perhaps most importantly, it significantly surpasses the classical support vector machines, which are both widely used and technically sound. All these therefore confirm the promise of the new methodology towards a dependable support within the medical decision-making. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4371041 Sat, 01 Jan 2011 00:00:00 +0100 4371041 http://www.medworm.com/index.php?rid=4371040&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001235%2Fabstract%3Frss%3Dyes Conclusion: The study suggests that the methodology that was proposed in our previous studies is also valid for identifying the EEG-coded content during dVM tasks, albeit with various modifications, which allow better prediction results and real-time data processing. The results have shown that wrist movements can be predicted in simulated or real time; however, the results of the non-causal, optimized methodology (simulated) are slightly better. Nevertheless, the study has revealed that these methods should be suitable for use in the development of a non-invasive, brain–computer interface. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4371040 Sat, 01 Jan 2011 00:00:00 +0100 4371040 http://www.medworm.com/index.php?rid=4371039&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001223%2Fabstract%3Frss%3Dyes Conclusion: Our system contributes valuable guidance to disease classification specialists in the process of coding discharge summaries, which consequently brings benefits in aspects of patient, hospital, and healthcare system. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4371039 Sat, 01 Jan 2011 00:00:00 +0100 4371039 http://www.medworm.com/index.php?rid=4371038&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001247%2Fabstract%3Frss%3Dyes Conclusion: The per-question method that combines classifiers following the specific protocol of the review leads to better results than the global method in terms of recall. Because neither method is efficient enough to classify abstracts reliably by itself, the technology should be applied in a semi-automatic way, with a human expert still involved. When the workflow includes one human expert and the trained automatic classifier, recall improves to an acceptable level, showing that automatic classification techniques can reduce the human workload in the process of building a systematic review. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4371038 Sat, 01 Jan 2011 00:00:00 +0100 4371038 http://www.medworm.com/index.php?rid=4371037&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571000120X%2Fabstract%3Frss%3Dyes Conclusions: The CAIS system and its associated methods are expected to be useful to biologists and translational medicine researchers. Possible applications range from supporting theoretical work in clarifying and modeling ontogenetic, physiological, pathological, and evolutionary transformations, to concrete techniques for improving the analysis of genotype–phenotype relationships among various animal models in support of a wide array of clinical and scientific initiatives. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4371037 Sat, 01 Jan 2011 00:00:00 +0100 4371037 http://www.medworm.com/index.php?rid=4371036&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001442%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4371036 Sat, 01 Jan 2011 00:00:00 +0100 4371036 http://www.medworm.com/index.php?rid=4150363&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001326%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4150363 Mon, 01 Nov 2010 00:00:00 +0100 4150363 http://www.medworm.com/index.php?rid=4150362&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001314%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4150362 Mon, 01 Nov 2010 00:00:00 +0100 4150362 http://www.medworm.com/index.php?rid=4150361&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000758%2Fabstract%3Frss%3Dyes Conclusions: The introduced algorithm is effective for the identification of minimal multi-marker SNP sets, which considerably reduce the dimension of the tagging SNP set in comparison with single-marker sets. Other variants of the SNP problem can be treated following the same approach. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4150361 Mon, 01 Nov 2010 00:00:00 +0100 4150361 http://www.medworm.com/index.php?rid=4150360&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000692%2Fabstract%3Frss%3Dyes Conclusions: The proposed approach can effectively improve the performance of tumor classification based on gene expression profiles. This work is a meaningful attempt to explore and apply multi-step dimensionality reduction and semi-supervised learning methods in the field of tumor classification. Considering the high classification accuracy, there should be much room for the application of multi-step dimensionality reduction and semi-supervised learning methods to perform tumor classification. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4150360 Mon, 01 Nov 2010 00:00:00 +0100 4150360 http://www.medworm.com/index.php?rid=4150359&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000321%2Fabstract%3Frss%3Dyes Conclusion: Multi-variate rule ranking performs better than the single-rule ranking algorithms. Both single-rule and multi-rule methods are able to substantially reduce the number of rules while keeping classification performance at a level comparable to the full rule set. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4150359 Mon, 01 Nov 2010 00:00:00 +0100 4150359 http://www.medworm.com/index.php?rid=4150358&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000746%2Fabstract%3Frss%3Dyes Conclusion: We conclude that the proposed approach can serve as a valuable decision support tool for the medical practitioner facing the complex problem of designing efficient combined chemotherapies. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4150358 Mon, 01 Nov 2010 00:00:00 +0100 4150358 http://www.medworm.com/index.php?rid=4150357&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001053%2Fabstract%3Frss%3Dyes Conclusion: We have demonstrated a new approach that dynamically estimates and determines the optimal sequence of tests that provides the most information (or disease probability) based on a patient's available information. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4150357 Mon, 01 Nov 2010 00:00:00 +0100 4150357 http://www.medworm.com/index.php?rid=4150356&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000552%2Fabstract%3Frss%3Dyes Conclusions: The four stage approach illustrated in this paper is useful for designing and implementing an ontology as the basis for a HIS. The approach extends existing ontology development methodologies by providing an empirical basis for theory incorporated into ontology design. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4150356 Mon, 01 Nov 2010 00:00:00 +0100 4150356 http://www.medworm.com/index.php?rid=4150355&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001272%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4150355 Mon, 01 Nov 2010 00:00:00 +0100 4150355 http://www.medworm.com/index.php?rid=4012182&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000680%2Fabstract%3Frss%3Dyes Conclusions: Quantitative prediction of MHC-II binding affinity can be modeled as an optimization problem. Our PSO based method can find the optimal PSSM, which will then be used for identifying the binding cores and scoring the binding affinities of the peptides. The experiment results show that our method is promising for the prediction of MHC-II binding affinity. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4012182 Wed, 29 Sep 2010 21:22:42 +0100 4012182 http://www.medworm.com/index.php?rid=4012181&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000722%2Fabstract%3Frss%3Dyes Conclusions: This paper has shown that eClass can effectively be applied to the classification of diabetes and dermatological diseases from discrete numerical samples. The results of using a novel optimization strategy indicate that the accuracy of eClass models can be further improved. Finally, the system can mine human readable rules which could enable medical experts to gain better understanding of a sample under analysis throughout the traditional diagnostic process. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4012181 Wed, 29 Sep 2010 21:22:42 +0100 4012181 http://www.medworm.com/index.php?rid=4012180&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000679%2Fabstract%3Frss%3Dyes Conclusion: The methods based on machine learning techniques were the most suited for the imputation of missing values and led to a significant enhancement of prognosis accuracy compared to imputation methods based on statistical procedures. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4012180 Wed, 29 Sep 2010 21:22:41 +0100 4012180 http://www.medworm.com/index.php?rid=4012179&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000576%2Fabstract%3Frss%3Dyes Conclusions: The CDSS allows the integration of signal and image processing algorithms into the general process of care. Feedback from end-users has been positive. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4012179 Wed, 29 Sep 2010 21:22:37 +0100 4012179 http://www.medworm.com/index.php?rid=4012178&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000941%2Fabstract%3Frss%3Dyes Conclusions: The results indicate that the proposed method provides an accurate and objective evaluation of the course of cutaneous hemangiomas. This is relevant for the monitoring of individual therapy and for clinical trials. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4012178 Wed, 29 Sep 2010 21:22:37 +0100 4012178 http://www.medworm.com/index.php?rid=4012177&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000734%2Fabstract%3Frss%3Dyes Abstract: Objective: In an effort to address the problem of laboratory errors, we develop and evaluate a method to detect mismatched specimens from nationally collected blood laboratory data in two experiments.Methods: In Experiments 1 and 2 using blood labs from National Health and Nutrition Examination Survey (NHANES) and values derived from the Diabetes Prevention Program (DPP) respectively, a proportion of glucose and HbA1c specimens were randomly mismatched. A Bayesian network that encoded probabilistic relationships among analytes was used to predict mismatches. In Experiment 1 the performance of the network was compared against existing error detection software. In Experiment 2 the network was compared against 11 human experts recruited from the American Academy of Clinical Chemists... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4012177 Wed, 29 Sep 2010 21:22:36 +0100 4012177 http://www.medworm.com/index.php?rid=4012176&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000710%2Fabstract%3Frss%3Dyes Conclusion: These results are promising for semantic indexing of medical records. They imply that we can take advantage of lexical patterns in discharge summaries for relation classification at a sentence level. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4012176 Wed, 29 Sep 2010 21:22:35 +0100 4012176 http://www.medworm.com/index.php?rid=4012175&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710001077%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=4012175 Wed, 29 Sep 2010 21:22:35 +0100 4012175 http://www.medworm.com/index.php?rid=3812470&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000400%2Fabstract%3Frss%3Dyes Conclusions: The paper describes a classification system detecting the voluntary movement initiation time and adaptable to different signals. By using a set of features directly derived from raw data, we obtained promising results. Furthermore, although the technique has been developed within the scope of isometric force and torque signal analysis, it can be applied to other detection problems where several simple detectors are available. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3812470 Tue, 03 Aug 2010 08:55:09 +0100 3812470 http://www.medworm.com/index.php?rid=3812469&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000540%2Fabstract%3Frss%3Dyes Conclusions: We have developed a CADx system for evaluation of pulmonary nodule based on a two-step feature selection and ensemble classifier algorithm. We have shown that by combining classifier ensemble algorithms in this two-step manner, it is possible to predict the malignancy for solitary pulmonary nodules with a performance exceeding that of either of the individual steps. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3812469 Tue, 03 Aug 2010 08:55:09 +0100 3812469 http://www.medworm.com/index.php?rid=3812468&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000369%2Fabstract%3Frss%3Dyes Conclusions: The fusion of fuzzy local binary patterns and fuzzy grey-level histogram features is more effective than the state of the art approaches for the representation of thyroid ultrasound patterns and can be effectively utilized for the detection of nodules of high malignancy risk in the context of an intelligent medical system. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3812468 Tue, 03 Aug 2010 08:55:09 +0100 3812468 http://www.medworm.com/index.php?rid=3812467&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000394%2Fabstract%3Frss%3Dyes Conclusions: The proposed approach exhibits some remarkable advantages both in segmentation and classification phases. The segmentation phase employs an image model that reduces the computational burden, preserving the small details in the image through an adaptive local estimation of all model parameters. The classification stage combines the results of the classifiers focused on the single microcalcification and the cluster as a whole. Such an approach makes a detection system particularly effective and robust with respect to the large variations exhibited by the clusters of microcalcifications. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3812467 Tue, 03 Aug 2010 08:55:09 +0100 3812467 http://www.medworm.com/index.php?rid=3812466&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000382%2Fabstract%3Frss%3Dyes Abstract: Objective: We investigate the influence of the clinical context of high-resolution computed tomography (HRCT) images of the chest on tissue classification.Methods and materials: 2D regions of interest in HRCT axial slices from patients affected with an interstitial lung disease are automatically classified into five classes of lung tissue. Relevance of the clinical parameters is studied before fusing them with visual attributes. Two multimedia fusion techniques are compared: early versus late fusion. Early fusion concatenates features in one single vector, yielding a true multimedia feature space. Late fusion consisting of the combination of the probability outputs of two support vector machines.Results and conclusion: The late fusion scheme allowed a maximum of 84% correct predi... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3812466 Tue, 03 Aug 2010 08:55:09 +0100 3812466 http://www.medworm.com/index.php?rid=3812465&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000539%2Fabstract%3Frss%3Dyes Conclusions: The described segmentation method is a general framework that can be adapted to segment different abdominal organs, achieving promising segmentation results. It has to be noted that its performance could be further improved by incorporating shape based rules. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3812465 Tue, 03 Aug 2010 08:55:09 +0100 3812465 http://www.medworm.com/index.php?rid=3812464&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571000076X%2Fabstract%3Frss%3Dyes The vast amount of data generated by biomedical devices or retrieved from archives motivates the development of computer-based techniques able to handle, analyze, and understand it automatically. For this reason, computer-based systems supporting medical decisions are also attracting a lot of research work. These systems can pursue different aims, such as pre-selecting the cases to be examined, serving as a second reader, or working as a tool for training and education of specialized healthcare professionals. Currently, the development of versatile systems applicable to various working scenarios is a major issue. Indeed, they call for careful design of data processing and analysis methods as well as the definition of decision rules. To the same extent, the definition of performance evaluat... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3812464 Tue, 03 Aug 2010 08:55:08 +0100 3812464 http://www.medworm.com/index.php?rid=3812463&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000965%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3812463 Tue, 03 Aug 2010 08:55:06 +0100 3812463 http://www.medworm.com/index.php?rid=3732902&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000849%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732902 Wed, 30 Jun 2010 23:00:00 +0100 3732902 http://www.medworm.com/index.php?rid=3732901&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000837%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732901 Wed, 30 Jun 2010 23:00:00 +0100 3732901 http://www.medworm.com/index.php?rid=3732900&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000527%2Fabstract%3Frss%3Dyes Conclusion: Machine learning provides techniques for improved prediction of clinical performance. These techniques therefore merit consideration as valuable alternatives to traditional multivariate regression techniques in clinical medical studies. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732900 Wed, 30 Jun 2010 23:00:00 +0100 3732900 http://www.medworm.com/index.php?rid=3732899&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000333%2Fabstract%3Frss%3Dyes Conclusion: By using the new RPPM technology and the DFPIS algorithm, we can observe the change of signaling patterns even at a very low radiation dosage where conventional technologies tend to fail. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732899 Wed, 30 Jun 2010 23:00:00 +0100 3732899 http://www.medworm.com/index.php?rid=3732898&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000564%2Fabstract%3Frss%3Dyes Abstract: Objective: Even though a vaccine for malaria infections has been under intense study for many years, it has resisted several different lines of attack attempted by biologists. More than half of Plasmodium proteins still remain uncharacterized and therefore cannot be used in clinical trials. The task is further complicated by the metamorphic life-cycle of the parasite, which allows for rapid evolutionary changes and diversity among related strains, thus making precise targeting of the appropriate proteins for vaccination a technical challenge. We propose an automated method for predicting functions for the malaria parasite, which capitalizes on the importance of the intraerythrocytic developmental cycle data and expression changes during its five phases, as determined computationa... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732898 Wed, 30 Jun 2010 23:00:00 +0100 3732898 http://www.medworm.com/index.php?rid=3732897&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571000028X%2Fabstract%3Frss%3Dyes Conclusion: The DACE test shows promise for finding regulatory relationships between a genomic locus and sets of genes which may be related to disease outcome. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732897 Wed, 30 Jun 2010 23:00:00 +0100 3732897 http://www.medworm.com/index.php?rid=3732896&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000357%2Fabstract%3Frss%3Dyes Conclusions: Our results indicate that document classification systems can be constructed to efficiently retrieve HP-PPI related documents. Feature selection was effective in reducing the dimensionality of features to build a compact system. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732896 Wed, 30 Jun 2010 23:00:00 +0100 3732896 http://www.medworm.com/index.php?rid=3732895&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000291%2Fabstract%3Frss%3Dyes Conclusions: The text-based A Priori algorithm is a practical, useful method to extract hyper-graphs representing multi-way associations among biological objects. These hyper-graphs and their visualization using representative graphs can provide important contextual information for understanding gene–gene associations relevant to specific diseases. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732895 Wed, 30 Jun 2010 23:00:00 +0100 3732895 http://www.medworm.com/index.php?rid=3732894&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000370%2Fabstract%3Frss%3Dyes Conclusions: We developed an automatic pathway figure classification system based on both figure legends and the main text that has quite a high degree of accuracy. To our knowledge, this is the first attempt to address a figure classification task using legends and the main text, and it may provide a first stage for achieving efficient figure mining. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732894 Wed, 30 Jun 2010 23:00:00 +0100 3732894 http://www.medworm.com/index.php?rid=3732893&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000345%2Fabstract%3Frss%3Dyes The availability of the vast amount of data from high throughput instruments and from the literature has transformed biology and medical sciences to data-driven sciences, thus it is of great interest in the research community to develop and use computational methods to utilize the data for biomedical research. This special issue focuses on how we can utilize data from high throughput instruments in relation to disease genes/proteins and clinical performances. Seven papers used various data mining techniques for feature selection and mining associations among genes, texts, expression data, and biological pathways. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732893 Wed, 30 Jun 2010 23:00:00 +0100 3732893 http://www.medworm.com/index.php?rid=3732892&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000795%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3732892 Wed, 30 Jun 2010 23:00:00 +0100 3732892 http://www.medworm.com/index.php?rid=3614082&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571000031X%2Fabstract%3Frss%3Dyes Conclusions: Experimental results show that the proposed method improves the prediction efficiency and accuracy over existing methods. In addition, the PMirP has lower computational complexity and higher throughput prediction capacity than Mipred web server. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3614082 Mon, 31 May 2010 15:11:58 +0100 3614082 http://www.medworm.com/index.php?rid=3614081&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000278%2Fabstract%3Frss%3Dyes Abstract: Objective: This paper focuses on the use of image-based machine learning techniques in medical image analysis. In particular, we present some variants of local binary patterns (LBP), which are widely considered the state of the art among texture descriptors. After we provide a detailed review of the literature about existing LBP variants and discuss the most salient approaches, along with their pros and cons, we report new experiments using several LBP-based descriptors and propose a set of novel texture descriptors for the representation of biomedical images. The standard LBP operator is defined as a gray-scale invariant texture measure, derived from a general definition of texture in a local neighborhood. Our variants are obtained by considering different shapes for the neighbo... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3614081 Mon, 31 May 2010 15:11:58 +0100 3614081 http://www.medworm.com/index.php?rid=3614080&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000308%2Fabstract%3Frss%3Dyes Conclusions: We argue that such investigation provides a suitable framework for characterising the high complexity of magnetic resonance images in schizophrenia as the results obtained indicate a high sensitivity rate with respect to the gold standard. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3614080 Mon, 31 May 2010 15:11:58 +0100 3614080 http://www.medworm.com/index.php?rid=3614079&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000254%2Fabstract%3Frss%3Dyes Conclusions: An empirically derived ME prior seems promising for improving the Bayesian CI for the unknown error rate of a designed classifier. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3614079 Mon, 31 May 2010 15:11:58 +0100 3614079 http://www.medworm.com/index.php?rid=3614078&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000242%2Fabstract%3Frss%3Dyes Conclusions: The classification integration and the reclassification methods are applied to two particular data sets. Beside these particular cases, our general method is also appropriate for many other application areas and may yield similar accuracy improvements. These methods may be also extended to non-linear classifiers. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3614078 Mon, 31 May 2010 15:11:58 +0100 3614078 http://www.medworm.com/index.php?rid=3614077&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000266%2Fabstract%3Frss%3Dyes Conclusions: The proposed method enables users to specify the domain knowledge to exploit the conceptual structures of biomedical document collections. In addition, the proposed method is able to extract the key concepts and cluster the documents with a relatively high precision. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3614077 Mon, 31 May 2010 15:11:58 +0100 3614077 http://www.medworm.com/index.php?rid=3614076&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571000059X%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3614076 Mon, 31 May 2010 15:11:58 +0100 3614076 http://www.medworm.com/index.php?rid=3467375&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000059%2Fabstract%3Frss%3Dyes Abstract: Objective: Variable selection is a key step in developing a successful quantitative structure–activity relationships (QSAR) analysis system. Tabu search (TS) can be used for variable selection which employs a flexible memory system to avoid convergence to local minima. But the convergence speed of TS depends on the initial solution and is slow. It usually reaches local minima since a single candidate solution is used to generate offspring. In the present paper, the TS algorithm was modified to assist TS to find the promising regions of the search space rapidly.Methods and materials: A version of modified TS algorithm is proposed to select variables in QSAR modeling and to predict toxicity of some aromatic compounds. In the modified TS, the information which shares mechanism amo... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3467375 Wed, 14 Apr 2010 15:45:16 +0100 3467375 http://www.medworm.com/index.php?rid=3467374&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000023%2Fabstract%3Frss%3Dyes Conclusion: The PVG feature extraction and classification approach can be assessed as being promising with regard to the diagnosis of functional voice disorders. The obtained results indicate that an objective analysis of dysfunctional vocal fold vibration can be achieved with considerably high accuracy. Moreover, the PVG classification method holds a lot of potential when it comes to the clinical assessment of voice pathologies in general, as the diagnostic support can be provided to the voice clinician in a timely and reliable manner. Due to the observed interdependency between phonation frequency and classification accuracy, in future comparative studies of HS recordings of oscillating vocal folds homogeneous frequencies should be taken into account during examination. (Source: Artifici... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3467374 Wed, 14 Apr 2010 15:45:15 +0100 3467374 http://www.medworm.com/index.php?rid=3467372&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000230%2Fabstract%3Frss%3Dyes Conclusions: Combination of both multiple feature sets characterizing a single modality and the three modalities allowed to substantially improve the classification accuracy if compared to the highest accuracy obtained from a single feature set and a single modality. In spite of the unbalanced data sets used, the error rates obtained for the three classes were rather similar. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3467372 Wed, 14 Apr 2010 15:45:15 +0100 3467372 http://www.medworm.com/index.php?rid=3467371&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000035%2Fabstract%3Frss%3Dyes Conclusions: This study demonstrated that the integrated machine learning method to select the predictor variables is more effective in developing the Cox survival models than the traditional methods commonly found in the literature. The significant distinction among the risk groups of thoracic patients also validates the effectiveness of the methodology proposed herein. We anticipate that this study (and other AI based analytic studies like this one) will lead to more effective analyses of thoracic transplant procedures to better understand the prognosis of thoracic organ recipients. It would potentially lead to new medical and biological advances and more effective allocation policies in the field of organ transplantation. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3467371 Wed, 14 Apr 2010 15:45:15 +0100 3467371 http://www.medworm.com/index.php?rid=3467370&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000229%2Fabstract%3Frss%3Dyes Conclusions: We conclude that intelligent visualization and exploration of longitudinal data of multiple patients with the VISITORS system is feasible, functional, and usable. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3467370 Wed, 14 Apr 2010 15:45:15 +0100 3467370 http://www.medworm.com/index.php?rid=3467369&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000047%2Fabstract%3Frss%3Dyes Conclusion: In typical applications an Arden Syntax MLM can produce a different output after only slight changes of the input; discontinuities are in fact unavoidable when the input varies continuously but the output is taken from a discrete set of possibilities. This inconvenience can, however, be attenuated by means of certain mechanisms on which the programme flow under Fuzzy Arden Syntax is based. To write a programme making use of these possibilities is not significantly more difficult than to write a programme according to the usual practice. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3467369 Wed, 14 Apr 2010 15:45:13 +0100 3467369 http://www.medworm.com/index.php?rid=3467368&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000424%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3467368 Wed, 14 Apr 2010 15:45:13 +0100 3467368 http://www.medworm.com/index.php?rid=3283270&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336571000014X%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283270 Mon, 01 Feb 2010 00:00:00 +0100 3283270 http://www.medworm.com/index.php?rid=3283269&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365710000138%2Fabstract%3Frss%3Dyes (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283269 Mon, 01 Feb 2010 00:00:00 +0100 3283269 http://www.medworm.com/index.php?rid=3283268&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709001614%2Fabstract%3Frss%3Dyes Conclusions: We implemented a system that can find possible explanations and cluster similar ADR cases reported by the FDA. We found that the average of ACC and the average NCTs in cases leading to death are higher than in cases not leading to death, suggesting that the interactions in cases leading to death are generally more complicated than in cases not leading to death. This indicates that our system can help not only in analysing ADRs in terms of drug–drug interactions but also by providing drug target assessments early in the drug discovery process. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283268 Mon, 01 Feb 2010 00:00:00 +0100 3283268 http://www.medworm.com/index.php?rid=3283267&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709001602%2Fabstract%3Frss%3Dyes Conclusions: In conclusion, we propose a new multiple regression model based on the scale-free property of real biological network for genetic regulatory network inference. Numerical results using yeast cell cycle gene expression dataset show the effectiveness of our method. We expect that the proposed method can be widely used for genetic network inference using high-throughput gene expression data from various species for systems biology discovery. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283267 Mon, 01 Feb 2010 00:00:00 +0100 3283267 http://www.medworm.com/index.php?rid=3283266&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709001055%2Fabstract%3Frss%3Dyes Conclusion: A CDW system consisting of TCM clinical RIM, ETL, OLAP and data mining as the core components has been developed to facilitate the tasks of TCM knowledge discovery and CDS. We have conducted several OLAP and data mining tasks to explore the empirical knowledge from the TCM clinical data. The CDW platform would be a promising infrastructure to make full use of the TCM clinical data for scientific hypothesis generation, and promote the development of TCM from individualized empirical knowledge to large-scale evidence-based medicine. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283266 Mon, 01 Feb 2010 00:00:00 +0100 3283266 http://www.medworm.com/index.php?rid=3283265&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709000992%2Fabstract%3Frss%3Dyes Conclusions: The proposed mixture classification model can easily integrate methods with different characteristics. It can overcome the shortcomings of traditional voting-based ensemble models and thus can make full use of the information in clinical data. The experimental results illustrate that our implemented MRS classifier can predict the breast cancer prognosis more accurately than previous prognostic methods. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283265 Mon, 01 Feb 2010 00:00:00 +0100 3283265 http://www.medworm.com/index.php?rid=3283264&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709001043%2Fabstract%3Frss%3Dyes Conclusion: The derived networks can effectively capture the unique regulatory patterns of protein markers associated with different patient groups and hence can be used for disease classification. The discovered regulation relationships can potentially provide insights to revealing the molecular signaling pathways.In this paper, a novel technique of regulatory network is proposed on purpose of modeling biomarker regulations and classifying different disease groups. The network is composed of a certain number of nodes that are directionally connected in between in which nodes denote predictors and connections to be the regulation relationship. The network is optimized towards minimizing its energy function with biomarker expression data acquired from a specific patient group, thus the opti... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283264 Mon, 01 Feb 2010 00:00:00 +0100 3283264 http://www.medworm.com/index.php?rid=3283263&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709001018%2Fabstract%3Frss%3Dyes We present a new hierarchically organized layout algorithm to produce layouts for hierarchically organized pathways. Our algorithm first decomposes a complex pathway into sub-pathway groups along the hierarchical organization, and then partition each sub-pathway group into basic components. It then applies conventional layout algorithms, such as hierarchical layout and force-directed layout, to compute the layout of each basic component. Finally, component layouts are joined to form a final layout of the pathway. Our main contribution is the development of algorithms for decomposing pathways and joining layouts.Results: Experiment shows that our algorithm is able to give comprehensible visualization for pathways with hierarchies, cycles as well as complex structures. It clearly renders the... Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283263 Mon, 01 Feb 2010 00:00:00 +0100 3283263 http://www.medworm.com/index.php?rid=3283262&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS093336570900102X%2Fabstract%3Frss%3Dyes Conclusion: The scientific landscape for schizophrenia genetics and other complex disease studies is expected to change dramatically in the next a few years, thus, the gene-based combined OR method is useful in candidate gene selection for follow-up association studies and in further artificial intelligence in medicine. This method for prioritization of candidate genes can be applied to other complex diseases such as depression, anxiety, nicotine dependence, alcohol dependence, and cardiovascular diseases. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283262 Mon, 01 Feb 2010 00:00:00 +0100 3283262 http://www.medworm.com/index.php?rid=3283261&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709001006%2Fabstract%3Frss%3Dyes Conclusion: The proposed feature selection methods and diffusion maps can achieve useful information from the multidimensional gene expression data and prove effective at addressing the problem of high dimensionality inherent in gene expression data analysis. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283261 Mon, 01 Feb 2010 00:00:00 +0100 3283261 http://www.medworm.com/index.php?rid=3283260&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709001031%2Fabstract%3Frss%3Dyes Conclusions: Our experimental results indicate that the FS-MLP is effective in analyzing multi-variate, non-linear and high dimensional datasets such as HIV-1 protease cleavage dataset. The 14 relevant features which were selected by the FS-MLP provide us with useful insights into the HIV-1 cleavage site domain as well. The FS-MLP is a useful method for computational sequence analysis in general. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283260 Mon, 01 Feb 2010 00:00:00 +0100 3283260 http://www.medworm.com/index.php?rid=3283259&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709000979%2Fabstract%3Frss%3Dyes Conclusions: We present a conceptually simple framework that enables reliable integration of true differential gene expression signals from multiple microarray experiments. This novel computational method has been shown to generate interesting biomarker panels for lung cancer studies. It is promising as a general strategy for future panel biomarker development, especially for applications that requires integrating experimental results generated from different research centers or with different technology platforms. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283259 Mon, 01 Feb 2010 00:00:00 +0100 3283259 http://www.medworm.com/index.php?rid=3283258&cid=s_34524_79_f&fid=34524&url=http%3A%2F%2Fwww.aiimjournal.com%2Farticle%2FPIIS0933365709000980%2Fabstract%3Frss%3Dyes The advances of high-throughput biotechnologies have shifted the focus of biomedical science from studying individual molecules towards analysing the interactions of the complex molecular and cellular networks that control whole biological systems. This greatly fosters the collaborative interactions between engineering, informatics, and biomedical science, and prompts the emergence of systems biology and systems medicine that aims to understand how the individual components of a biological system interact in time and space to determine the functioning of the system and how an appropriate approach can be developed for the effective treatment of diseases. (Source: Artificial Intelligence in Medicine) Artificial Intelligence in Medicine journals http://www.medworm.com/rss/comments.php?id=3283258 Mon, 01 Feb 2010 00:00:00 +0100 3283258