Absolute Risk Prediction for Cannabis Use Disorder in Adolescence and Early Adulthood Using Bayesian Machine Learning
The proposed model can aid clinicians in assessing the risk of developing CUD among adolescents and young adults who use cannabis, enabling clinically appropriate interventions.
Authors
- Joseph M. Boden (ORCID: https://orcid.org/0000-0003-1502-1608)
- Tingfang Wang (ORCID: https://orcid.org/0000-0002-0927-9023)
- Swati Biswas (ORCID: https://orcid.org/0000-0001-7758-4460)
- Pankaj K. Choudhary (ORCID: https://orcid.org/0000-0002-0398-7459)
Institutions
- The University of Texas at Dallas (US)
- University of Otago (NZ)
Publication Details
- Journal
- Drug and Alcohol Review
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1111/dar.14098
- Primary Topic
- Cannabis and Cannabinoid Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Texas at Dallas
- Health Research Council of New Zealand
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development