Enhancing Medicaid Social Risk Identification: Comparing Linear and Non-Linear Machine Learning Models with Expert Heuristics
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-25T23:28:24.191Z