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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 2010
Subjects:
Coronary artery disease
Decision support system
Diagnosis
Fuzzy
Rough set theory
Reduct
Artificial Intelligence
Biomedical engineering
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7536
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spelling my.unimap-75362010-01-21T01:33:49Z 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 Artificial Intelligence Biomedical engineering 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 2010-01-21T01:33:06Z 2010-01-21T01:33:06Z 2009-11-11 Working Paper p.1C3 1 - 1C3 5 http://hdl.handle.net/123456789/7536 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
Artificial Intelligence
Biomedical engineering
spellingShingle Coronary artery disease
Decision support system
Diagnosis
Fuzzy
Rough set theory
Reduct
Artificial Intelligence
Biomedical engineering
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 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7536
_version_ 1643788865259962368
score 13.214268

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