Heart Disease Prediction Using Machine Learning Algorithms: A Systematic Survey

Abstract

The heart is the one of the most typical and important organ in our human body. Over few decades Cardiovascular Diseases became one of the most frequent reasons of deaths. This threatening not only in India but also the whole world. The heart was attacked by so many factors like age, sex, diet, stress, smoking etc. So there is a need to early diagnosing the disease accurately so that immediate treatment can be provided and saves millions of lives .The incorrect prediction may also cause side effects or loss of life. In the last few decades eminent researchers are proposed many approaches to predict the heart diseases. In this article, we are reviewed different types of efficient machine learning algorithms for heart disease prediction with correlation matrices; visualize the features and performance metrics like precision, recall, accuracy. In our survey the logistic regression approach gives the best accuracy result which is 81.9%.