Abstract:Cardiovascular diseases, including heart attacks, remain a leading cause of mortality worldwide. Early and accurate prediction of heart attacks is of paramount importance for timely intervention and prevention. Deep learning techniques have shown promising results in various medical applications, and their application in heart attack prediction presents an opportunity to enhance diagnostic capabilities. In this study, we propose a deep learning-based approach for heart attack prediction, leveraging a comprehen… Show more
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