Machine-Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data.

Journal: Journal of child psychology and psychiatry, and allied disciplines
Published Date: Dec 1, 2020

Abstract

BACKGROUND: Children with attention-deficit/hyperactivity disorder (ADHD) have a high risk for substance use disorders (SUDs). Early identification of at-risk youth would help allocate scarce resources for prevention programs.

Authors

  • Yanli Zhang-James
    Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA.
  • Qi Chen
    Department of Gastroenterology, Jining First People's Hospital, Jining, China.
  • Ralf Kuja-Halkola
    Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden.
  • Paul Lichtenstein
    Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden.
  • Henrik Larsson
    Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden.
  • Stephen V Faraone
    Department of Psychiatry, State University of New York Upstate Medical University, Syracuse.

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