SURVEY ON HEART DISEASE PREDICTION APPROACHES
The world is cornered by issues that affect the daily life of mankind. Amongst these issues the health of a person promotes itself to be of paramount concern. Many diseases have existed and continue to evolve in the world today. The only means to diagnose a disease before it becomes fatal to a human being is by analyzing its respective symptoms. Even a newly formed disease leaves behind a trail of symptoms by which its future occurrence can be depicted. This paper aims at study of various approaches used for heart disease prediction. These approaches are based on classification, clustering, association rule, neural networks, and algorithm and decision tree. In this paper will explain some existing approaches and scope for future study. KeywordsHeart disease prediction, classification , association rules