A State of Art of Cardiovascular Diseases Using Machine Learning Algorithms

One of the primary causes of death on the globe is heart disease. It can be accurately and early predicted, which can help to avoid negative effects. The prediction of cardiac disease has made substantial use of machine learning techniques in the last decade. The main objective of this paper is to give an overview of current advancements in the field of heart disease prediction using machine learning approaches over the previous 17 years. The paper addresses the various machine learning algorithms that were employed in 40 research investigations for the prediction of heart disease and their performance evaluation measures. The paper concludes by discussing the challenges and future directions using machine learning techniques with the corresponding recommendations.