Hadeer Mahmoud

Leakage-Safe Boosting Ensembles With SHAP Explainability for Alzheimer's Disease Risk Prediction: A Rigorous Multi-Classifier Benchmark on Global Structured Clinical Data

Alzheimer's disease (AD) is a major public health challenge, and scalable non-invasive risk-stratification tools are needed. We benchmarked 11 machine-learning classifiers on a publicly available global structured Alzheimer's prediction dataset (N = 74,283; 24 predictors) using leakage-safe sklearn/imblearn pipelines....