A knowledge based system for diagnosing heart diseases

Abstract

The purpose of this study was to design a knowledge based expert system for diagnosing heart diseases by using forward chaining as one of inference technique and analyse the software functionality through black box testing. The heart organ chosen because many mortality rates are caused by sudden heart attacks. The research method consists of seven stages: preliminary studies, data collection, knowledge acquisition, knowledge representation, knowledge implementation, system evaluation, and the last, drawing conclusions. The software application recognizes the type of heart disease after consultation by answering a few questions about the symptoms of disease that displayed by the system, and can infer the type of heart diseases suffered by the patient. Based on the results of black box testing, the expert system application has been running with good functionality. The knowledge based expert system is designed to provide solutions or initial actions that can be performed by patient in relation to heart disease he suffered (early detection).