A Case Study on Expert System for Diagnosis of Heart Disease

Abstract: The use of neural network on different diseases has been used on large scale since last two decades. This expert system offers a helping hand for the accurate decision over a certain diagnosis. A medical training may not have enough experience to deal and tackle with some high risk diseases like heart, kidney and brain. This case study includes details about patient’s data, coding, normalization and tabulation. It describes various heart disease diagnostic techniques such as Feed Forward Back- propagation (FFBP), Support Vector Machine (SVM), Generalized Regression Neural Network (GRNN) and Radial Basis Function (RBF) has been applied over the data for the experiment. Additionally it represents different tables of symptoms used for heart disease diagnosis. In this case study, expert system for diagnosis of heart disease useful for the new researcher to understand how to collect the data and perform experimental analysis using different neural network techniques.

Keywords: Data Mining, Expert system, Heart disease, SVM, RBF, GRNN, FFBP