Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis

ArXi:2507.11185v2 Announce Type: replace-cross Heart disease continues to pose a critical worldwide health issue, specifically in areas with insufficient access to healthcare infrastructure and diagnostic systems. Conventional diagnostic approaches often fall short in accurately detecting and managing heart disease risks, resulting in unfavorable outcomes. Machine learning presents a powerful means to boost the precision and reliability of cardiovascular disease prognosis and diagnosis. In this research, we.