Hybrid Classfication for Heart Disease Prediction using Artificial Intelligence

In general, data mining is considered as a method utilized for mining the valuable data from the available rough data. The futuristic outcomes are forecasted by utilizing the recent information in the prediction analysis. This research work deals with heart disease prediction. The proposed research work introduces several steps for heart disease prediction. The RF and DT based hybrid scheme is introduced and later the features are abstracted using RF. The implementation of DT is done for classification. The performance analysis helps to acquire accuracy, precision and recall of the recommended model. The proposed model has obtained an accuracy of about 94.44%.