<p>AI/ML to identify and stratify non-clinical factors contributing to cancer health disparity in rural Appalachia</p>

Aisha Montgomery; Ravi Vadapalli; Praduman  Jain

doi:10.7490/f1000research.1119910.1

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Montgomery A, Vadapalli R and Jain P. AI/ML to identify and stratify non-clinical factors contributing to cancer health disparity in rural Appalachia [version 1; not peer reviewed]. F1000Research 2024, 13:1160 (slides) (https://doi.org/10.7490/f1000research.1119910.1)

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AI/ML to identify and stratify non-clinical factors contributing to cancer health disparity in rural Appalachia

Aisha Montgomery¹, Ravi Vadapalli, Praduman Jain

Published 07 Oct 2024 (https://doi.org/10.7490/f1000research.1119910.1)

Author Affiliations

¹ Vibrent Health, Inc., Fairfax, VA, USA

Copyright © 2024 Montgomery A et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 07 Oct 2024

AI/ML to identify and stratify non-clinical factors contributing to cancer health disparity in rural Appalachia
[version 1; not peer reviewed]

Aisha Montgomery¹, Ravi Vadapalli, Praduman Jain

Author Affiliations

¹ Vibrent Health, Inc., Fairfax, VA, USA

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Colorectal cancer, Social determinants of Health, Rural populations, Health disparities, Machine Learning

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