Prediction of Heart Diseases using Support Vector Machine
Yamala a Sandhy
Abstract
Heart disease is the normal term used in the health industry. The meaning of the Heart disease is that the heart is not working properly or normally. In the medical terminology the heart attack is a condition where the supply of the blood to the organs of the body is blocked and then it will result into the blood clot. Now-a-days there are so many heart diseases like Coronary Artery Disease, Congestive Heart Failure and Bad Heart Rhythms etc. There are so many number of people who are suffering from the heart diseases. The heart diseases may or may not have the symptoms before it attack the people. So we need to predict the heart diseases for the people it effect or not. Now-a-days so much number of people is died suddenly due to the heart attack because the life style of the people is changed rapidly. In this research paper we use the Support Vector Machine which is the Machine Learning algorithm. The support vector machine is a supervised learning method. In the research paper the Support Vector Machine can predict the heart disease based on the given factors like sex, age, pulse rate etc. The machine learning algorithm support vector machine used in this research paper will give the most accurate and reliable results when compare to the other algorithms.