Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques

Abstract

Implementing the novel model in this study significantly improved performance, achieving a prediction accuracy rate of 92% in the detection of CAD. These findings are competitive and on par with the top outcomes among other methods.