A Comparative Study Of Classification Models For Prediction Of Heart Disease

Abstract

Nowadays heart diseases are very common among the people globally. The presence of heart disease should be detected timely otherwise it will keep on deteriorating health. If medical experts are able to predict the chances of heart disease accurately then they can take timely decisions related to health of the concerned person. Diagnosis of heart disease at early stage reduces the chances of fatality.ML (Machine Learning) can assist in developing classification models that are capable to predict disease. This paper presents a study of various existing approaches that are used to predict heart diseases. The advantages of all the approaches are also discussed.