Opioid Cost Prediction Using PBM and SDOH: County-Level Machine Learning Framework, United States 2013–2023

This repository contains all data, code, and model artifacts for the study "Development and Feasibility Evaluation of a County-Level Machine-Learning Framework for Opioid Cost Surveillance Using Medicare Part D and Social Determinants of Health Data, United States, 2013–2023." It includes feature-engineered panel data (approximately 3,100 U.S. counties, 2013–2023), Random Forest model code, SHAP analysis scripts, counterfactual simulation outputs, and a README with full replication instructions. All data sources are publicly available from CMS, County Health Rankings, and the U.S. Census Bureau. Version 4 updated April 2026.