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

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. METHODS: Psychiatric and somatic diagnoses, family history of these disor...

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Detalles Bibliográficos
Autores principales: Zhang‐James, Yanli, Chen, Qi, Kuja‐Halkola, Ralf, Lichtenstein, Paul, Larsson, Henrik, Faraone, Stephen V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754321/
https://www.ncbi.nlm.nih.gov/pubmed/32237241
http://dx.doi.org/10.1111/jcpp.13226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754321/
https://www.ncbi.nlm.nih.gov/pubmed/32237241
http://dx.doi.org/10.1111/jcpp.13226

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