Fuzzy Expert System for Coronary Heart Disease Diagnosis

Abstract

Expert systems are typically developed to solve unclear application fields or problems. Expert systems based on fuzzy logic has two advantages over traditional expert systems: high approximation ability and high accuracy. Therefore fuzzy expert systems are widely used in the fields which have very high complexity and uncertainty. In this paper, a fuzzy expert system for Coronary Heart Disease diagnosis will be developed. There exists no strict boundary between what is Healthy and what is Diseased, thus distinguish is uncertain and vague. Therefore this proposed system will be very useful to diagnosis for Coronary Heart Disease. The proposed system will use 12 input fields and one output field. If the user absence of disease, the result shows Healthy. If the user presence of disease, the result shows the situations of Coronary Heart Disease. And this system will give advices and drug treatment for the user’s disease.