Machine learning prediction of posttraumatic stress disorder trajectories following traumatic injury: Identification and validation in two independent samples.

Tomas, Carissa W; Fitzgerald, Jacklynn M; Bergner, Carisa; Hillard, Cecilia J; Larson, Christine L; deRoon-Cassini, Terri A

Tomas, Carissa W; Fitzgerald, Jacklynn M; Bergner, Carisa; Hillard, Cecilia J; Larson, Christine L; deRoon-Cassini, Terri A.

Afiliação

Tomas CW; Division of Epidemiology, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Fitzgerald JM; Comprehensive Injury Center, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Bergner C; Department of Psychology, Marquette University, Milwaukee, Wisconsin, USA.
Hillard CJ; Comprehensive Injury Center, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Larson CL; Department of Pharmacology and Toxicology and Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
deRoon-Cassini TA; Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.

J Trauma Stress ; 35(6): 1656-1671, 2022 12.

Article em En | MEDLINE | ID: mdl-36006041

Assuntos

Transtornos de Estresse Pós-Traumáticos; Humanos; Transtornos de Estresse Pós-Traumáticos/diagnóstico; Fatores de Risco; Aprendizado de Máquina; Área Sob a Curva; Autorrelato

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos de Estresse Pós-Traumáticos Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Trauma Stress Assunto da revista: PSICOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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