Enhancing Medicaid Social Risk Identification: Comparing Linear and Non-Linear Machine Learning Models with Expert Heuristics

Saad Khan, Prathyusha Harish Kumar, Hala Algrain, Lorena De Leon, Bryce Parker, Vincent Mays, Edith Lopez Estrada, LaToya Turner, Ian Stockwell

Open source

DOI
10.1109/icdh72779.2026.00025
Published
2026-07
Container
2026 IEEE International Conference on Digital Health (ICDH)
Publisher
IEEE
Open access
unknown

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BibTeX

@article{allodium:10.1109/icdh72779.2026.00025,
  title = {Enhancing Medicaid Social Risk Identification: Comparing Linear and Non-Linear Machine Learning Models with Expert Heuristics},
  author = {Saad Khan and Prathyusha Harish Kumar and Hala Algrain and Lorena De Leon and Bryce Parker and Vincent Mays and Edith Lopez Estrada and LaToya Turner and Ian Stockwell},
  year = {2026},
  journal = {2026 IEEE International Conference on Digital Health (ICDH)},
  doi = {10.1109/icdh72779.2026.00025},
  url = {https://doi.org/10.1109/icdh72779.2026.00025}
}

RIS

TY  - JOUR
TI  - Enhancing Medicaid Social Risk Identification: Comparing Linear and Non-Linear Machine Learning Models with Expert Heuristics
AU  - Saad Khan
AU  - Prathyusha Harish Kumar
AU  - Hala Algrain
AU  - Lorena De Leon
AU  - Bryce Parker
AU  - Vincent Mays
AU  - Edith Lopez Estrada
AU  - LaToya Turner
AU  - Ian Stockwell
PY  - 2026
JO  - 2026 IEEE International Conference on Digital Health (ICDH)
DO  - 10.1109/icdh72779.2026.00025
UR  - https://doi.org/10.1109/icdh72779.2026.00025
ER  - 

APA

Khan, S., Kumar, P. H., Algrain, H., Leon, L. D., Parker, B., Mays, V., Estrada, E. L., Turner, L., & Stockwell, I. (2026). Enhancing Medicaid Social Risk Identification: Comparing Linear and Non-Linear Machine Learning Models with Expert Heuristics. 2026 IEEE International Conference on Digital Health (ICDH). https://doi.org/10.1109/icdh72779.2026.00025

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