SURVEY ON COMPUTER PROGRAMS AND METHODS FOR HEART DISEASES PREDICTION AND CLASSIFICATION

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DC Field	Value	Language
dc.contributor.author	Nithya S	-
dc.contributor.author	Suresh Gnana Dhas C	-
dc.date.accessioned	2020-09-15T08:55:29Z	-
dc.date.available	2020-09-15T08:55:29Z	-
dc.date.issued	2015-07	-
dc.identifier.issn	1819-6608	-
dc.identifier.uri	http://www.arpnjournals.com/jeas/research_papers/rp_2015/jeas_0715_2256.pdf	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1511	-
dc.description.abstract	This paper presents several approaches carried out for the prediction, risk assessment of heart diseases such as Coronary Artery Disease (CAD), Congestive Heart Failure, Myocardial Infarction (MI). Researchers of applied soft W computing, image processing, data mining has taken strenuous efforts in prediction, risk assessment and classification of cardiac diseases. The paper thoroughly reviewed their contribution and several cross functional research dimensions.	en_US
dc.language.iso	en	en_US
dc.publisher	ARPN Journal of Engineering and Applied Sciences	en_US
dc.subject	congestive heart failure	en_US
dc.subject	coronary artery disease	en_US
dc.subject	heart rate variability	en_US
dc.title	SURVEY ON COMPUTER PROGRAMS AND METHODS FOR HEART DISEASES PREDICTION AND CLASSIFICATION	en_US
dc.type	Article	en_US
Appears in Collections:	International Journals

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