Author : Mr.Bramhadeo Bobade and Dr. Anup Raut

In this paper the proposed framework predicts Heart Disease utilizing SVM calculation. Coronary illness is the most well-known reason for death universally. Coronary illness expectation utilizing information mining is one of the most intriguing and testing undertakings. The lack of authorities and high wrongly analyzed cases has required the need to build up a quick and proficient identification framework. As indicated by past framework the mix of clinical choice help with PC based patient record can lessen medicinal blunders, can be made progressively exact and thus improve understanding security. The framework helps in forecast of coronary illness by considering hazardous factor related with coronary illness. Parameters on which the disease is calculated or identified are based on Age, Gender, Chest Pain, Blood Pressure, ECG, Blood Sugar, and Heart Rate of the patient.

Keywords: SVM, Heart Disease, Data mining, support vector machine, prediction.