Abstract
This is the age of rising technology and the domain that is one of the biggest beneficiaries of this rapid change is healthcare. Nowadays, early detection of any heart irregularity has become a crucial public health concern. This paper reviews various different approaches that have been taken on for computer aided diagnosis (CAD) of heart disease, and provides a comprehensive study and analysis on the same. For ease of understanding and clarity, the paper has been divided into five distinct heart diseases namely, Coronary Artery Disease, Cardiac Arrhythmia, Congenital Heart Disease (CHD), Myocardial Infarction (Heart Attack) and lastly, Cardiac Arrest. The different approaches to computer aided diagnosis possibilities in each category has been reviewed from recent studies and has been further sub-categorized and discussed.
Keywords: CAD, Deep Learning, Heart Disease, Machine Learning, Prediction.