Implementation of the Diagnosis System for Heart Diseases by using Decision Tree Induction Method

Abstract

Computer have become an indispensable tool in the Health Care Industry. As technology grows rapidly many people take great interest in computer and then computer based method are used to improve the quality of the medical services. A decision support system is clearly an application that simply manipulates data or supports decision making. Decision tree induction algorithm has been successfully used in decision support system. Decision tree is a flow-chart-like tree structure, where each internal node denotes a test on an attributes, each branch represents an outcome of the test, and the leaf nodes represent classes or class distributions. There are over 100 types of heart diseases. This system provides 4 types of heart diseases. They are Heart Failure, Infective Endocarditis, Coronary Heart Disease and Valvular Heart Disease. In this paper, we implement the diagnosis system for heart diseases by using decision tree induction method. The heart diseases that we implement include (26) attributes (symptoms) and (4) classes (diseases). This system has 3000 train data and 1000 test data. This system provides the heart disease results to patients according to the symptoms that they are suffered and also provides some treatments that the patients should take.