Nowadays death due to heart disease has been common in the world. It has become a hard task for the
medical practitioners to diagnose in the initial stage and requires more expertise and demand in the medical field for
prediction. Designing an automated system by using machine learning algorithm will improve the medical efficiency
and also reduce the cost. In this paper we are planning to design an automated system that can be used for efficiently
predicting the results which give information about the risks need to be faced by the patients with respect to heart
diseases by using the parameter available in the dataset. We are extracting the hidden patterns from the parameters
by applying data mining techniques. Since the heart data is too massive and complex for analysis using traditional
techniques, we are using machine learning algorithm for computation using the parameters available in the dataset
and produce accurate prediction of heart disease. Machine Learning Prediction techniques like Naive Bayes
