Effective Heart Disease Prediction Using Hybridmachine Learning

Machine learning based heart disease prediction is presented in this research work. Heart related diseases increases everyday throughout the world due to stress, high blood pressure, family backgrounds, etc., Early prediction helps to prevent serious issues due to heart diseases. Classification approaches are widely used to analyse medical data to prevent major issues. Real time large medical data are evaluated through data mining applications to control, contradict and manage large data and make use of it to predict the risk factors. This research work is also aims to diagnose heart disease through support vector machine (SVM) and genetic algorithm (GA) as a data analytic approach. Experimental results demonstrate the superior performance of proposed approach in predicting heart disease.