Using decision tree algorithms as a basis for a heart sound diagnosis decision support system

Stasis, A; Loukis, E; Pavlopoulos, S; Koutsouris, D

dc.contributor.author	Stasis, A	en
dc.contributor.author	Loukis, E	en
dc.contributor.author	Pavlopoulos, S	en
dc.contributor.author	Koutsouris, D	en
dc.date.accessioned	2014-03-01T02:49:21Z
dc.date.available	2014-03-01T02:49:21Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34547
dc.subject	Aortic Stenosis	en
dc.subject	Case Study	en
dc.subject	Data Mining	en
dc.subject	Expert Knowledge	en
dc.subject	Feature Vector	en
dc.subject	Heart Disease	en
dc.subject	Mitral Regurgitation	en
dc.subject	Signal Processing	en
dc.subject	Decision Support System	en
dc.subject	Decision Tree	en
dc.title	Using decision tree algorithms as a basis for a heart sound diagnosis decision support system	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITAB.2003.1222552	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITAB.2003.1222552	en
heal.publicationDate	2003	en
heal.abstract	Decision trees algorithms were used with promising results in various critical problems, concerning heart sound diagnosis. In general this diagnostic problem can be divided in many sub problems, each one dealing either with one morphological characteristic of the heart sound or with difficult to distinguish heart diseases. The sub problems of the discrimination of aortic stenosis from mitral regurgitation and	en
heal.journalName	IEEE EMBS International Conference on Information Technology Applications in Biomedicine	en
dc.identifier.doi	10.1109/ITAB.2003.1222552	en