A systematic review of Machine learning techniques for Heart disease prediction

Abstract

Machine learning includes articial intelligence, which is implemented to solve a number of data science problems. The prediction of outcomes based on existing data is a common machine learning application.Different data mining strategies for the prediction of heart disease have been proposed with varying degrees of effectiveness and accuracy. In this paper, author provide an in-depth literature survey on systems for predicting risk of heart disease.