Integrative Framework for Heart Failure Risk Assessment and Tailored Mitigation Strategies

Heart failure is a major problem which affects many people across the world .The paper proposes an integrated architecture combining advanced predictive modeling for the risk assessment of heart failure and medication recommendations concerning metabolism-related factors. By using classification algorithms, including decision trees and gradient boosting, the paper aims at accurately predicting heart failure risk. Moreover, the model will suggest remedial actions concerning diabetes stabilization, creatinine levels, and anemia management, striving to provide a complete approach to the prevention of heart failure.