Red-flagging multimorbidity clusters for Alzheimer's disease risk using explainable machine learning: Evidence from a national emergency department sample

Routine ED codes reveal an age-dependent, dose-response relationship between specific multimorbidity clusters and AD. An interpretable XGBoost model accurately identifies high-risk patients, outlining a practical pathway for real-time cognitive-risk alerts in acute-care settings.