Article
Article ID: 100107
An Explainable Machine Learning Framework for Heart Disease Risk Prediction Using Agentic RAG
Heart disease is a leading cause of global mortality, making early and reliable risk assessment critical for prevention and clinical decision support. Traditional machine learning models often provide high predictive performance but lack transparency in explaining their decisions. Therefore, there is a growing need for intelligent systems that combine predictive accuracy with explainable output...
