Abstract: Data mining is the computer based process to analyze large sets of data and then extract the meaningful data. Data mining tools predict future trends, allow for business to make knowledge-driven decisions. Heart disease is most challenging disease for reducing patient number. There are many data mining techniques like decision tree, Naive Bayes and neural network. In this paper, we use the improved k-means and ANN techniques for improving accuracy. We have 13 parameters like age, sex, chest pain, blood pressure, cholesterol, fasting blood sugar, slope, ca etc as input to the system and using this attributes and algorithms we can predict the heart disease will occur or not. We suggest the medicines in future work.
Keywords: Data mining, Heart disease, Artificial intelligence, Clustering, Artificial Neural Network..