Prediction of Coronary Artery Disease Using Electrocardiography a Machine Learning Approach

According to World Health Organization reports, approximately 3.8 million men and 3.4 million women worldwide die each year due to Coronary Artery Disease (CAD), a leading cause of cardiovascular mortality globally. Two third of patients die even before reaching the hospital. Clinically, CAD may either remain asymptomatic for long period, or it may manifest as life threatening Acute Coronary Syndrome (ACS).