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  3. Predicting self-harm in a high-risk sample of adolescents: Integrating a neurobiological phenotype in machine-based learning approaches
 

Predicting self-harm in a high-risk sample of adolescents: Integrating a neurobiological phenotype in machine-based learning approaches

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  • Details
Date of Publication
2025-11-12
Publication Type
Conference Item
Subject(s)
600 Technology > 610 Medicine & health
100 Philosophy > 150 Psychology
Language(s)
en
Contributor(s)
Reichl, Corinna
University Hospital of Child and Adolescent Psychiatry and Psychotherapy
Fink, Erik Jörg
University Sports
University Hospital of Child and Adolescent Psychiatry and Psychotherapy
von den Driesch, Luisa
University Hospital of Child and Adolescent Psychiatry and Psychotherapy
Lerch, Stefan
University Hospital of Child and Adolescent Psychiatry and Psychotherapy
Koenig, Julian
Kaess, Michael
University Hospital of Child and Adolescent Psychiatry and Psychotherapy
University Hospital of Child and Adolescent Psychiatry and Psychotherapy
Additional Credits
University Hospital of Child and Adolescent Psychiatry and Psychotherapy
University Sports
Title of Event
International Society for the Study of Personality Disorders
Access(Rights)
metadata.only
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