Expert system for diagnosis of coronary artery disease: A survey

Abstract

Coronary Artery Disease (CAD) is one of the most dangerous diseases which lead to sudden cardiac death. The diagnosis of CAD is very expensive and time consuming which made computer scientists to use artificial techniques such as expert system to diagnose CAD’ patients. This study presents a state-of-the-art of the methods and techniques used for the development of expert system to diagnose CAD by scholars. The study found fuzzy logic as the most frequently used and successful technique for the development of the expert system to diagnose CAD. While data mining techniques found to be the second and neural network as third most frequently used and successful technique for the development of the expert system to diagnose CAD. The study further found that, 40% of the studies reviewed to use hybrid approach where fuzzy logic and data mining techniques were used in the development of the expert system for diagnosis of CAD. Keywords: expert system; artificial intelligence; fuzzy logic; data mining; coronary artery disease.