Abstract: Data mining have great potential for healthcare industry to enable health systems to systematically use data and identify the efficiency and improve care with reduce cost. Due to complexity of healthcare and slower improvement of technology adoption needs to implement effective data mining. In data mining there are variety of techniques and methods to suggest or decision making knowledge in database and extracting or support prediction of data. With growing research on heart disease prediction system, this research work has developed a Heart disease prediction with comparative study of several data mining algorithms. Many data mining prediction tools are there in worldwide to make prediction for medical data. In this study it is observed that compare several algorithms to analysis the performance, accuracy of the heart disease prediction system. The commonly used techniques of heart disease prediction and their analytics, summaries are summarized in this research work.

Keywords: Data mining, Heart disease, J48, Naïve Bayes, Neural Network, Prediction.