Prediction System for Heart Disease Using Rough Gaussian Naive Bayes Classifier

Abstract

 Heart diseases are becoming most fatal conditions in the world. Statistical information display the risk of cardiovascular disease by revealing the percentage of deaths worldwide caused due to heart attacks. Thus, there is an implicit necessity to predict this condition. The proper motto for this article is to develop an brilliant system using rough Gaussian naive bayes classifier. Restorative data acquired from patients must be kept safely to proceed and utilize safely. By using this system we can retrieve the concealed information is taken from the stored information and then compares the patient values with trained dataset. By using this technique, it is very easy to predict the heart disease and can control the deaths caused due to heart attacks.