Predicting fatal drug poisoning among people living with HIV-HCV co-infection
Despite rich data, our model was not able to accurately predict drug poisoning deaths. Larger datasets and information about changing drug markets could help improve future prediction efforts.
Authors
- Sharon Walmsley (ORCID: https://orcid.org/0000-0002-3959-5692)
- Curtis Cooper (ORCID: https://orcid.org/0000-0002-3368-3499)
- Marina B. Klein (ORCID: https://orcid.org/0000-0002-3063-8430)
- Erica E. M. Moodie (ORCID: https://orcid.org/0000-0002-7225-3977)
- M. John Gill (ORCID: https://orcid.org/0000-0002-8546-8790)
- Valérie Martel‐Laferrière (ORCID: https://orcid.org/0000-0001-7973-8582)
- Joseph Cox (ORCID: https://orcid.org/0000-0002-7041-1556)
- Mary P. Bedard
Institutions
- University Health Network (CA)
- University of Ottawa (CA)
- University of Calgary (CA)
- Canadian Institutes of Health Research (CA)
- University of Toronto (CA)
- Ottawa Hospital (CA)
- McGill University Health Centre (CA)
- Toronto General Hospital (CA)
- Centre Hospitalier de l’Université de Montréal (CA)
- Ottawa Hospital Research Institute (CA)
- HIV Legal Network (CA)
- McGill University (CA)
Publication Details
- Journal
- Canadian Liver Journal
- Published
- 2025-03-12
- DOI
- https://doi.org/10.3138/canlivj-2024-0060
- Primary Topic
- Opioid Use Disorder Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00