Development and evaluation of a machine learning model to predict acute care for opioid use disorder among Medicaid enrollees engaged in a community-based treatment program.
- DOI
- 10.1111/add.70079
- Published
- 2025-04-29
- Container
- Addiction
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1111/add.70079,
title = {Development and evaluation of a machine learning model to predict acute care for opioid use disorder among Medicaid enrollees engaged in a community-based treatment program.},
author = {Xue L and Yin R and Cole ES and Lo-Ciganic WH and Gellad WF and Donohue J and Tang L.},
year = {2025},
journal = {Addiction},
doi = {10.1111/add.70079},
url = {https://doi.org/10.1111/add.70079}
}RIS
TY - JOUR TI - Development and evaluation of a machine learning model to predict acute care for opioid use disorder among Medicaid enrollees engaged in a community-based treatment program. AU - Xue L AU - Yin R AU - Cole ES AU - Lo-Ciganic WH AU - Gellad WF AU - Donohue J AU - Tang L. PY - 2025 JO - Addiction DO - 10.1111/add.70079 UR - https://doi.org/10.1111/add.70079 ER -
APA
L, X., R, Y., ES, C., WH, L., WF, G., J, D., & L., T. (2025). Development and evaluation of a machine learning model to predict acute care for opioid use disorder among Medicaid enrollees engaged in a community-based treatment program.. Addiction. https://doi.org/10.1111/add.70079
Source records
- europe-pmc · retrieved 2026-09-27T05:25:40.534Z