Unlocking the Future of Cardiology: Revolutionizing Heart Disease Prediction with Deep Learning

Abstract

This paper elaborates on the application of deep learning models to predict heart disease, emphasizing the transformative potential of Al in healthcare for chronic disease management. It underscores the advantage of these models over traditional statistical methods in terms of accuracy, efficiency, and the ability to process complex, nonlinear relationships in data. The study presents a comparative analysis of various deep learning architectures, demonstrating their efficacy in identifying heart disease markers from patient data. It suggests that these advances could lead to more personalized, predictive, and preventive healthcare strategies, ultimately improving patient outcomes and reducing health-care costs.