Titlebook: Artificial Intelligence in Medicine; 13th Conference on A Mor Peleg,Nada Lavrač,Carlo Combi Conference proceedings 2011 Springer-Verlag Gmb

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blight

How to Use Symbolic Fusion to Support the Sleep Apnea Syndrome Diagnosising of many physiological parameters to be diagnosed. The analysis of these curves is a time consuming task made by sleep Physicians. First, they detect some physiological events on each curve and then, they point out links between respiratory events and their consequences. To support the diagnosis,

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Ontology-Based Generation of Dynamic Feedback on Physical Activity feedback to help patients reach a healthy daily pattern. The system has shown positive effects in trials on patient groups including COPD and obese patients. We describe the design and implementation of a new feedback generation module which improves interaction with the patient by providing person

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A Case Study of Stacked Multi-view Learning in Dementia Research etc. Thus, dementia classification should lend itself to so-called .. Instead of simply combining several views, we use stacking to make the most of the information from the various views (PET scans, MMSE, CERAD and demographic variables). In the paper, we not only show the performance of stacked m

锯齿状

Lobotomy

A Data Mining Library for miRNA Annotation and AnalysisStandard gene set enrichment analysis (GSEA) is not appropriate in this context, due to the low specificity of the relation between miRNAs and their target genes. We developed alternative strategies to gain better insights in the differences in biological processes involved in different experimental

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细微的差异

Comparing Machine-Learning Classifiers in Keratoconus Diagnosis from ORA Examinationsnowledge improvement, corneal physical parameters were considered important to its evaluation. The Ocular Response Analyzer (ORA) provides some physical parameters using an applanation process to measure cornea biomechanical properties. This paper presents a study of machine learning classifiers in

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HRVFrame: Java-Based Framework for Feature Extraction from Cardiac Rhythmovel Java-based computer framework for feature extraction from cardiac rhythms. The framework called HRVFrame implements more than 30 HRV linear time domain, frequency domain, time-frequency domain, and nonlinear features. Output of the framework in the form of .arff files enables easier medical kno

极力证明

Lessons Learned from Implementing and Evaluating Computerized Decision Support Systemsms (CDSS). CDSSs aim at providing meaningful feedback to professionals in order to positively influence their behavior. Intensive care medicine, with its heavy reliance on information and the advanced information infrastructure in intensive care units (ICUs), is an attractive specialty and environme