A five-factor absolute risk model for cannabis use disorder in young cannabis users shows moderate discrimination (AUC 0.64 to 0.75) and near-expected calibration in external samples.
The health effects of cannabis and cannabinoids: the current state of evidence and recommendations for research
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Absolute Risk Prediction for Cannabis Use Disorder in Adolescence and Early Adulthood Using Bayesian Machine Learning
A five-factor absolute risk model for cannabis use disorder in young cannabis users shows moderate discrimination (AUC 0.64 to 0.75) and near-expected calibration in external samples.