Machine Learning to Evaluate the Effects of Non-Clinical Social Determinant Features in Predicting Colorectal Cancer Mortality in a Medically Underserved Appalachian Population

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Examines colorectal cancer (CRC) survival rates in rural Appalachia and the related impact of demographic, clinical, and social determinant of health (SDOH) factors. Utilizes machine learning (ML) models to analyze data from Appalachian cancer centers and examines what factors contribute most to CRC survival in Appalachia. Discusses the impact of including SDOH in ML prediction models and implications for further CRC research.

Aisha Montgomery, Ravi Vadapalli, Frank A. Dinenno, et al.

Scientific Reports, 15, 25781

07/2025

Appalachia · Cancer · Mortality · Research methods and resources · Statistics and data