Abstract

Heart disease is considered as one of the major causes of death throughout the world. It cannot be easily predicted\nby the medical practitioners as it is a difficult task which demands expertise and higher knowledge for prediction. This paper\naddresses the issue of prediction of heart disease according to input attributes on the basis of data mining techniques. We\nhave investigated the heart disease prediction using PCA-kNN technique through MATLAB2012a software. The\nperformance of these data mining techniques is measured by combining the results of predictive accuracy, specificity and\nsenstivity using a standard data set as well as a collected data set. Based on performance factor PCA-kNN techniques show\noptimum performances than the performances of SVM techniques.