Prediction of Heart Disease using Classification Algorithms

Data mining is an iterative progress in which evolution is defined by detection, through usual or manual methods. The discovered knowledge can be used for different applications for example healthcare industry. The heart disease accounts to be the leading cause of death worldwide. It is difficult for medical practitioners to predict the heart attack as it is complex task that requires experience and knowledge. Different data mining techniques such as association rule mining, classification, clustering are used to predict the heart disease in health care industry. data mining algorithm such as J48,naïve bayes, REPTREE, Neural networks, CART are applied in this research for predicting heart attacks.