Using classification trees to identify psychotherapy patients at risk for poor treatment adherence.

Regan, Timothy; McCredie, Morgan N; Harris, Bethany; Clark, Shaunna

Regan, Timothy; McCredie, Morgan N; Harris, Bethany; Clark, Shaunna.

Afiliação

Regan T; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
McCredie MN; Department of Psychological & Brain Sciences, Texas A&M University, College Station, TX, USA.
Harris B; Department of Psychological & Brain Sciences, Texas A&M University, College Station, TX, USA.
Clark S; Department of Psychiatry & Behavioral Sciences, Texas A&M College of Medicine, USA.

Psychother Res ; 34(2): 159-170, 2024 Feb.

Article em En | MEDLINE | ID: mdl-36881612

Assuntos

Cooperação do Paciente; Psicoterapia; Humanos; Transtornos da Personalidade; Personalidade

Palavras-chave

attendance; classification trees; dropout; machine learning; psychotherapy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicoterapia / Cooperação do Paciente Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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