Predicting mental health problems in adolescence using machine learning techniques

• Ashley E. Tate ,

  Roles Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

  * E-mail: Ashley.thompson@ki.se

  Affiliation Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden

  http://orcid.org/0000-0002-4523-6960

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• Ryan C. McCabe,

  Roles Formal analysis, Methodology, Writing – review & editing

  Affiliation Spotify, Stockholm, Sweden

  http://orcid.org/0000-0002-1239-4380

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• Henrik Larsson,

  Roles Data curation, Supervision, Writing – review & editing

  Affiliations Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden, School of Medical Sciences, Örebro University, Örebro, Sweden

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• Sebastian Lundström,

  Roles Data curation, Supervision, Writing – review & editing

  Affiliations Centre for Ethics, Law and Mental Health (CELAM), University of Gothenburg, Gothenburg, Sweden, Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden

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• Paul Lichtenstein,

  Roles Data curation, Funding acquisition, Supervision, Writing – review & editing

  Affiliation Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden

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• Ralf Kuja-Halkola

  Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden

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