A Hybrid DTNB Model for Heart Disorders Prediction

The cardiac disease plays a major cause of death worldwide. The medical experts are facing the difficulties to foresee the heart attacks, because it seems to be a complicated job and also requires huge skill and knowledge. Today's health division consists of some crucial information which becomes significant to make decisions. To predict heart attacks disease, algorithms like J48, Naive Bayes, REPTREE, CART, and Bayes Net of data mining get used and also applied in this research. The study result shows 99 percent predictive accuracy. Data mining allows trends in the data set to be predicted by the health sector.