Online Portal for Prediction of Heart Disease using Machine Learning Ensemble Method(PrHD-ML)

As number of people dying is increasing day by day due to heart related problems like Heart failure, Myocardial infarction, Pulmonary stenosis etc and in many cases situation reaches crisis point, hence there is a requirement of the powerful web-based system with very good accuracy in place to detect the presence of cardiac problem symptoms in early stage and cure the disease before patient reaches critical condition. Online system always helps the patients when there is a emergency. More exploratory work is done towards hybrid models which show huge improvement in coronary illness conclusion accuracy. The goal of the proposed research is to anticipate the coronary illness in a patient all the more precisely. This paper provides the web based system for prediction of heart disease using machine learning (ML) algorithms with a good accuracy compared to other works. It uses ensemble classification method for prediction of heart disease, as ensemble methods gives better accuracy compared to individual classifiers like Support Vector Machine (SVM) or Random Forest (RF).