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Diagnosis of coronary artery disease using artificial intelligence based decision support system

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Bibliographic Details
Main Authors:	Noor Akhmad, Setiawan, Venkatachalam, P.A., Ahmad Fadzil, M. Hani
Other Authors:	noorwewe@yahoo.com
Format:	Working Paper
Language:	English
Published:	Universiti Malaysia Perlis 2009
Subjects:	Coronary artery disease Decision support system Diagnosis Fuzzy Rough set theory Reduct Decision making > Data processing
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/7272
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id	my.unimap-7272
record_format	dspace
spelling	my.unimap-72722010-01-15T08:09:46Z Diagnosis of coronary artery disease using artificial intelligence based decision support system Noor Akhmad, Setiawan Venkatachalam, P.A. Ahmad Fadzil, M. Hani noorwewe@yahoo.com Coronary artery disease Decision support system Diagnosis Fuzzy Rough set theory Reduct Decision making -- Data processing Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. This research is about the development a fuzzy decision support system for the diagnosis of coronary artery disease based on evidence. The coronary artery disease data sets taken from University California Irvine (UCI) are used. The knowledge base of fuzzy decision support system is taken by using rules extraction method based on Rough Set Theory. The rules then are selected and fuzzified based on information from discretization of numerical attributes. Fuzzy rules weight is proposed using the information from support of extracted rules. UCI heart disease data sets collected from U.S., Switzerland and Hungary, data from Ipoh Specialist Hospital Malaysia are used to verify the proposed system. The results show that the system is able to give the percentage of coronary artery blocking better than cardiologists and angiography. The results of the proposed system were verified and validated by three expert cardiologists and are considered to be more efficient and useful. 2009-11-13T02:00:29Z 2009-11-13T02:00:29Z 2009-10-11 Working Paper p.1C3 1 - 1C3 5 http://hdl.handle.net/123456789/7272 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Coronary artery disease Decision support system Diagnosis Fuzzy Rough set theory Reduct Decision making -- Data processing
spellingShingle	Coronary artery disease Decision support system Diagnosis Fuzzy Rough set theory Reduct Decision making -- Data processing Noor Akhmad, Setiawan Venkatachalam, P.A. Ahmad Fadzil, M. Hani Diagnosis of coronary artery disease using artificial intelligence based decision support system
description	Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2	noorwewe@yahoo.com
author_facet	noorwewe@yahoo.com Noor Akhmad, Setiawan Venkatachalam, P.A. Ahmad Fadzil, M. Hani
format	Working Paper
author	Noor Akhmad, Setiawan Venkatachalam, P.A. Ahmad Fadzil, M. Hani
author_sort	Noor Akhmad, Setiawan
title	Diagnosis of coronary artery disease using artificial intelligence based decision support system
title_short	Diagnosis of coronary artery disease using artificial intelligence based decision support system
title_full	Diagnosis of coronary artery disease using artificial intelligence based decision support system
title_fullStr	Diagnosis of coronary artery disease using artificial intelligence based decision support system
title_full_unstemmed	Diagnosis of coronary artery disease using artificial intelligence based decision support system
title_sort	diagnosis of coronary artery disease using artificial intelligence based decision support system
publisher	Universiti Malaysia Perlis
publishDate	2009
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/7272
_version_	1643788744547893248
score	13.222552

Diagnosis of coronary artery disease using artificial intelligence based decision support system

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