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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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| Publicat a: | J Child Psychol Psychiatry |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
John Wiley and Sons Inc.
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7754321/ https://ncbi.nlm.nih.gov/pubmed/32237241 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/jcpp.13226 |
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