Heart Disease Prediction Using Data Mining Techniques

Abstract

Studies have shown that heart diseases have emerged as the number one cause of deaths. Heart disease is accountable for deaths in all age groups and is common among males and females. A good solution to this problem is to be able to predict what a patient's health status will be like in the future so the doctors can start treatment much sooner which will yield better results. It's a lot better than acting at the last minute where the patient is already at risk and hence the prediction of heart disease is widely researched area. A lot of research and technological advancement has been recorded in similar fields. This paper aims to report about taking advantage of the various data mining techniques and develop prediction models for heart disease survivability.