H. Nabi

Group-Aware and Explainable Machine Learning Framework for Heart Disease Prediction Using Optimized CatBoost

Accurate and reliable heart disease prediction can support early risk assessment and improve clinical decision-making. However, repeated or duplicate observations in widely used heart disease datasets can introduce data leakage and lead to overly optimistic performance estimates. This study proposes a duplicate-aware a...