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Machine learning to evaluate the effects of non-clinical social determinant features in predicting colorectal Cancer mortality in a medically underserved Appalachian population

Crossref DOI link: https://doi.org/10.1038/s41598-025-11074-y

Published Online: 2025-07-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Montgomery, Aisha https://orcid.org/0000-0003-0175-3437
Vadapalli, Ravi https://orcid.org/0000-0002-8925-3244
Dinenno, Frank A. https://orcid.org/0000-0003-4644-3213
Schilling, Josh https://orcid.org/0000-0002-1367-7008
Jain, Praduman https://orcid.org/0000-0002-0062-7044
Jacob, Aasems https://orcid.org/0000-0002-7783-3786
Chism, David https://orcid.org/0009-0007-4423-2718
Shanker, Anil https://orcid.org/0000-0001-6372-3669
Funding

Funding for this research was provided by:

Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (1OT2OD032581, 1OT2OD032581, 1OT2OD032581, 1OT2OD032581, 1OT2OD032581, 1OT2OD032581, 1OT2OD032581)
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Text and Data Mining valid from 2025-07-16

Version of Record valid from 2025-07-16
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Article History

Received: 31 January 2025

Accepted: 8 July 2025

First Online: 16 July 2025

Declarations

:

: The authors declare no competing interests.

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