Abstract: Cardiovascular disease (CVD) remains the leading cause of mortality globally, necessitating innovative
approaches for early detection and risk stratification. We conducted a comprehensive comparative analysis of
machine learning algorithms for predicting cardiovascular disease risk factors among US adults. Our
investigation encompassed traditional statistical models, ensemble methods, deep learning approaches, and
explainable artificial intelligence techniques........
        Keywords –Cardiovascular disease, Machine learning, Risk prediction, Artificial intelligence, Health
          disparities, Electronic health records
       
     
    
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