Comparative Analysis of various Techniques for Heart Disease Prediction

With the increasing death counts due to heart diseases, a system is required in place for accurately predicting heart disease. Various researchers have proposed a number of models for predicting heart diseases using different technologies such as artificial neural networks, machine learning, data mining, etc. This paper analyses the work done by various researchers on the accuracy of heart disease prediction through the different approaches. A detail literature review has been provided in the study. The analysis has also been presented on the basis on technology used.