RETRACTED ARTICLE: Accuracy detection of coronary artery disease using machine learning algorithms

Coronary artery disease, which involves a wide range of conditions, including narrowed or blocked coronary arteries, has remained the leading cause death in United States for over 50 years. The majority cardiovascular disorders are preventable, identified through risk factors. Electrocardiogram (ECG), routinely available test that provides information about one’s electrophysiologic health, may be beneficial determining risk. Given automated and highly correlated nature its measurements, ECG data suited well analysis via machine learning. This research compares demonstrates improvements standard methods discussed framework. proposed framework novel approach to determine severity heart diseases using traditional survival learning based on blockages major blood vessels heart. Hence, modern demands improve accuracy predictive analysis. work analyses widespread determination various disease applies cost-based matrix enhance detection accuracy. An HD dataset evaluate classification performance following algorithms.