NDLI: A decision tree-based method, using auscultation findings, for the differential diagnosis of aortic stenosis from mitral regurgitation

Content Provider	IEEE Xplore Digital Library
Author	Stasis, A.C. Loukis, E.N. Pavlopoulos, S.A. Koutsouris, D.
Copyright Year	2003
Description	Author affiliation: Lab. of Biomed. Eng., Nat. Tech. Univ. of Athens, Greece (Stasis, A.C.)
Abstract	In this study, decision tree algorithms are used with promising results in a crucial and at the same time complicated classification problem concerning differential diagnosis of heart sounds. Decision tree structures are constructed, using data mining/distillation methods and then are used to classify heart sounds that were recorded from patients that have either aortic stenosis (AS) or mitral regurgitation (MR). Emphasis is given on the selection of the appropriate features that are adequately independent from the heart sound signal acquisition method. The differentiation capabilities and the classification performance of the fully expanded decision tree classifiers and the pruned decision tree classifiers are studied for this problem. For each constructed decision tree classifier the partial classification accuracies for the AS and MR auscultation findings are also estimated.
Sponsorship	European Soc. of Cardiology Nat. Inst. of Health, USA
Starting Page	769
Ending Page	772
File Size	323833
Page Count	4
File Format	PDF
ISBN	078038170X
ISSN	02766547
DOI	10.1109/CIC.2003.1291270
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-21
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision trees Classification tree analysis Frequency Cardiac disease Biomedical engineering Costs Cardiology Heart valves Cardiovascular diseases Laboratories
Content Type	Text
Resource Type	Article

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