Prediction of Heart Diseases using Deep Learning: A Review

Abstract

The WHO studies show that cardiovascular diseases (CVD) are the major cause of 31% of all global deaths. CVD is also responsible for 45 percent of deaths in people aged 40 to 69. An accurate prediction system of heart disease is necessary and important to reduce deaths, globally. Today with the advancement of technology, prediction of heart disease using deep learning models, applying vast data can give an accurate prediction model. Using a deep learning method 94% of accuracy can be obtained and the data sets with different attributes can be used for analysis. The objective is to apply various algorithms to the problem and make a comparative study on the effectiveness of these algorithms in predicting the presence of coronary illness in a person.