BIBLIOGRAPHIC RECORD
Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study
This record contains bibliographic metadata. Open the linked source to check the work; the record does not include its full text.
- Recorded authors
- Wei‐Hsuan Lo‐Ciganic; James L. Huang; Hao Helen Zhang; Jeremy C. Weiss; C. Kent Kwoh; Julie M. Donohue; Adam J. Gordon; Gerald Cochran; Daniel C. Malone; Courtney C. Kuza; Walid F. Gellad
- Source of metadata
- OpenAlex
- Year recorded
- 2020
Public identifiers and source
Open the source recordReference
Wei‐Hsuan Lo‐Ciganic; James L. Huang; Hao Helen Zhang; Jeremy C. Weiss; C. Kent Kwoh; Julie M. Donohue; Adam J. Gordon; Gerald Cochran; Daniel C. Malone; Courtney C. Kuza; Walid F. Gellad. (2020). Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study. https://openalex.org/W3042329961
Reference assembled from the available metadata. Check and cite the original publication before reusing a claim.
Permanent record URL: https://brain.psiconautica.org/en/documentos/d-4c06bb5de59edf0edbd33d1d17e2406d/