Optimizing Alzheimer's disease prediction through ensemble learning and feature interpretability with SHAP‐based feature analysis
Optimizing Alzheimer's disease prediction through ensemble learning and feature interpretability with SHAP‐based feature analysis
Md. Kamrul Hossain,Afrina Ashraf,2 Authors,Md. Monir Hossain Shimul
2025 · DOI: 10.1002/dad2.70162
Alzheimer's & Dementia · 4 Citations
TLDR
An interpretable machine learning model for early AD prediction using open clinical data is developed using open clinical data and shows clear trends in prognosis and disease progression.
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia. Early diagnosis is vital. We developed an interpretable machine learning (ML) model for early AD prediction using open clinical data.