Absolute Risk Prediction for Cannabis Use Disorder in Adolescence and Early Adulthood Using Bayesian Machine Learning.

Journal: Drug and alcohol review
Published Date:

Abstract

INTRODUCTION: Substance use disorders (SUD) have emerged as a pressing public health concern in the United States, with adolescent substance use often leading to SUDs in adulthood. Effective strategies are needed to stem this progression. To help fulfil this need, we developed a novel absolute risk prediction model for cannabis use disorder (CUD) for adolescents or young adults who use cannabis.

Authors

  • Tingfang Wang
    Department of Mathematical Sciences, University of Texas at Dallas, Richardson, USA.
  • Joseph M Boden
    Department of Psychological Medicine, University of Otago, Christchurch, New Zealand.
  • Swati Biswas
    Department of Mathematical Sciences, University of Texas at Dallas, Richardson, USA.
  • Pankaj K Choudhary
    Department of Mathematical Sciences, University of Texas at Dallas, Richardson, USA.

Keywords

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