Fadime Erinci

An explainable artificial intelligence–based stacking ensemble for heart failure mortality prediction: A data-leakage-free clinical decision support approach

Accurate mortality risk prediction at emergency department admission is critical for triage and patient safety in heart failure. We aimed to develop a data-leakage-free stacking ensemble model predicting mortality from baseline variables, targeting high sensitivity for clinical safety, and utilizing Explainable Artific...