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Learn-Then-Optimize Defibrillator Siting with SHAP-Guided Integer Programming

A three-stage pipeline for siting public-access AEDs: predict out-of-hospital cardiac arrest risk from geographic features with a supervised ML model, quantify each feature's contribution with SHAP, then place AEDs via an integer program that maximizes coverage of SHAP-weighted OHCA density.