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
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;
Conference_Titel :
Electronic Technology Directions to the Year 2000, 1995. Proceedings.
Conference_Location :
Adelaide, SA
Print_ISBN :
0-8186-7085-1
DOI :
10.1109/ETD.1995.403483
