On the Problems of Knowledge Acquisition and Representation of Expert System for Diagnosis of Coronary Artery Disease (CAD)

Abstract

Expert system is computer software that nearly earns the decision making ability of human expert and it is one of the most promising areas of applied artificial intelligence. It had proved its importance in medical field particularly diagnosis of diseases. Expert system has three fundamental techniques namely, knowledge acquisition, knowledge inference and knowledge representation that involved into transferring expertise from human expert to the expert system then to user. Knowledge acquisition and knowledge presentation have been since termed as the problematic bottlenecks in the construction of the application oriented expert system. In this study, the previous studies carried out by various researchers based on knowledge acquisition and presentation of expert system for diagnosis of coronary artery disease have been reviewed and the weaknesses of each work have been spelt out. These spelt put drawbacks of the studies have termed as a knowledge gap to bridge in subsequent study to carry out.