Hybrid approach of data mining techniques to predict heart disease

Most nations face high and expanding rates of heart diseases or Cardiovascular Disease. Despite the fact that, advanced pharmaceutical is creating colossal measure of information consistently, little has been done to utilize this accessible information to comprehend the difficulties that face an effective elucidation of echocardiography examination results. The present paper based on the study of models utilizing the different heart diseases forecast calculations like: Decision Tree, Greedy Algorithm and Neural Network. In this paper different authors paper reviewed for prophetic model for heart diseases prediction using data mining methods for improving the dependability of heart diseases.