Prediction of Heart Disease using Machine Learning Algorithm: Support Vector Machine

Abstract

Heart Attackis sudden and intense in the entire universe.The World Health Organization statistics revealed that many of the people are suffering with heart disease and it isthe cause for the death of most of the people. It is important to diagnose the people with heart disease in the early stage in order to prevent deaths. Traditional way of diagnosis is insufficient for such an illness. If heart disease could be predicted before then lots of patient deaths would be prevented and also a more accurate and efficient treatment way could be provided. Prediction of the heart disease using Data Mining techniques will provide a best and accurate result when compared to traditional way. In this paper,we predictthe heart disease using support vector machine is proposed to identify the heart disease. 13 attributes were used as input.Here we use classification techniques for good decision making in the field of health care arenamely Decisiontree, NaiveBays,Neural Networks,Support Vector Machines and Random Forest. Using these techniques the heart disease can be predicted accurately.