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The patterns of relapse and abstinence: using machine learning to identify a multidimensional signature of long-term outcome after inpatient alcohol withdrawal treatment

AimsA machine learning approach to identify a multidimensional signature associated with relapse and long-term outcome in alcohol dependence treatment.DesignIn this observational naturalistic study, inpatients with alcohol dependence received qualified detoxification plus CBT (Cognitive Behavioral T...

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Principais autores: Florian J. Raabe, Sarah Brechtel, Charlotte Lugmair, Judith Weiser, Kolja Schiltz, Nikolaos Koutsouleris, Peter Falkai, Eva Hoch, Oliver Pogarell, Gabriele Koller, David Popovic
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2026-04-01
coleção:Frontiers in Psychiatry
Assuntos:
alcohol dependence
biomarkers
machine learning
outcome
relapse
withdrawal treatment
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fpsyt.2026.1683069/full
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