Design of heart disease diagnosis system using fuzzy logic

In most of the cases, heart disease results in death. Medical diagnosis is a difficult task and most of the time done by experts in domain. The aim of this work is to develop a fuzzy expert system to identify heart disease risk in the patients. There are several factors to analyze the heart disease in the patient and it is not an easier task, which makes the physician's job difficult. However, the experts want an accurate tool which considers and identifies the risk factors on the basis of provided information. This paper uses fuzzy expert system for diagnosis of the heart disease. The proposed fuzzy expert system consists of three major steps i.e. fuzzification, rule base and defuzzification. Centroid technique is used for defuzzification. This system has 13 input parameters and 1 output parameter. MATLAB software is used as a development tool. The database is taken from V.A. Medical Center, Long Beach and Cleveland Clinic Foundation.