Date of Publication :26th April 2018

Abstract: Data Mining is the process of transforming the raw data into useful information for decision making. Medical Data mining has potential to explore the hidden pattern in data set of the medical domain. These hidden patterns can be used for clinical diagnosis and disease prediction. Heart disease is one of the common and major causes for death in India. According to the report of Global Burden of Disease, 1.7 million Indians died because of cardiovascular illnesses. The number of deaths due to cardiovascular illnesses has grown up by 53% since 2005. According to ASSOCHAM-Deloitte joint study, the cases of cardiovascular diseases are growing at 9.5% annually. At the same time, it is considered to be the most preventable and controllable disease. There are certain factors which may cause heart diseases. The factors include change in life style, food habits, mental stress, smoking, alcohol consumption, obesity, blood pressure and diabetes etc. This research paper intends to provide a survey of data mining techniques used in medical field particularly in heart disease prediction. Various research works on association rule mining, classification and Ontology approaches for disease prediction are analyzed and presented in this paper

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