The Comparative Study of Heart Disease Prediction using Machine Learning

Abstract

Nowadays, people are becoming busier and there is no time to check the health. Based
on their jobs and other personal issues in life, the sick increases every day. The common and
dangerous disease that can occur to the human is heart disease. Approximately 32% of deaths are
due to heart diseases. So, early prediction of heart disease may improve the prevention of heart
attacks. Machine Learning (ML) algorithms most widely used to process complex data,
unstructured data and medical data. Medical data such as disease prediction is most widely used
by ML algorithms. ML is a subset of artificial intelligence (AI) which focuses mainly on making
predictions based on its experience, analyzing the previous data. In this paper, a comparative
study of various machine learning algorithms is discussed and shows the result.