DocumentCode
2934829
Title
A comparative study of artificial intelligent techniques in the detection of coronary artery disease
Author
Jain, R. ; Mazumdar, J. ; Moran, W.
Author_Institution
Dept. of Appl. Math., Adelaide Univ., SA, Australia
fYear
1995
fDate
23-25 May 1995
Firstpage
113
Lastpage
120
Abstract
This paper presents a comparative study of expert system, fuzzy logic and neural networks in the detection of coronary artery disease. It is evident from this study that expert systems can be useful in training and providing expert assistance to the user. Fuzzy logic simplifies the knowledge base in the system. Neural networks are faster and have generalisation capability
Keywords
diagnostic expert systems; fuzzy logic; medical expert systems; neural nets; artificial intelligent techniques; coronary artery disease; expert system; fuzzy logic; generalisation capability; knowledge base; neural networks; Acoustic signal detection; Arteries; Artificial intelligence; Artificial neural networks; Biological neural networks; Coronary arteriosclerosis; Expert systems; Fuzzy logic; Intelligent networks; Medical diagnostic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Technology Directions to the Year 2000, 1995. Proceedings.
Conference_Location
Adelaide, SA
Print_ISBN
0-8186-7085-1
Type
conf
DOI
10.1109/ETD.1995.403483
Filename
403483
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