An Intelligent Heart Disease Prediction System Using K-Means Clustering and Naïve Bayes Algorithm

Abstract—Nowadays people work on computers for hours and hours they don’t have time to take care of themselves. Due to hectic schedules and consumption of junk food it affects the health of people and mainly heart. So to we are implementing an heart disease prediction system using data mining technique Naïve Bayes and k-means clustering algorithm. It is the combination of both the algorithms. This paper gives an overview for the same. It helps in predicting the heart disease using various attributes and it predicts the output as in the prediction form. For grouping of various attributes it uses k-means algorithm and for predicting it uses naïve bayes algorithm. Index Terms —Data mining, Comma separated files, naïve bayes, k-means algorithm, heart disease