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Timothy E. Roden

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Open access Aug 2026

An Interpretable Machine Learning-Based Multi-Model Framework for Constructing and Characterizing a County-Level Chronic Illness Vulnerability Index

This study presents an interpretable machine learning-based multi-model framework for constructing and characterizing a county-level chronic illness vulnerability index that integrates five domains: health burden, social conditions, environmental exposure, behavioral factors, and COVID-19-related measures.

Ronish M. Shrestha, M. Rana, Bo Sun et al. · 0 citations

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