Public Access Defibrillator Deployment for Cardiac Arrests: A Learn-Then-Optimize Approach with SHAP-based Interpretable Analytics

该研究提出了一种结合机器学习预测、SHAP 可解释性分析及 SHAP 引导的整数规划模型的“先学习后优化”方法,仅利用地理数据精准预测院外心脏骤停发生概率并指导自动体外除颤器的优化部署,从而显著提升急救效率。

Kexin Cao (Victor), Chih-Yuan Yang (Victor), Keng-Hou Leong (Victor), Xinglu Liu (Victor), Wai Kin (Victor), Chan2026-03-12🔢 math