Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach.

Lannon, Edward; Sanchez-Saez, Francisco; Bailey, Brooklynn; Hellman, Natalie; Kinney, Kerry; Williams, Amber; Nag, Subodh; Kutcher, Matthew E; Goodin, Burel R; Rao, Uma; Morris, Matthew C

Lannon, Edward; Sanchez-Saez, Francisco; Bailey, Brooklynn; Hellman, Natalie; Kinney, Kerry; Williams, Amber; Nag, Subodh; Kutcher, Matthew E; Goodin, Burel R; Rao, Uma; Morris, Matthew C.

Afiliação

Lannon E; Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
Sanchez-Saez F; Department of Psychology, University of Tulsa, Tulsa, Oklahoma, United States of America.
Bailey B; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, United States of America.
Hellman N; School of Engineering and Technology, Universidad Internacional de La Rioja, Logroño, Spain.
Kinney K; Department of Psychology, The Ohio State University, Columbus, Ohio, United States of America.
Williams A; Department of Psychology, University of Tulsa, Tulsa, Oklahoma, United States of America.
Nag S; Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
Kutcher ME; Department of Psychiatry, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States of America.
Goodin BR; Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
Rao U; Department of Neuroscience and Pharmacology, Meharry Medical Center, Tennessee, United States of America.
Morris MC; Department of Surgery, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.

PLoS One ; 16(7): e0255277, 2021.

Article em En | MEDLINE | ID: mdl-34324550

Assuntos

Aprendizado de Máquina; Dor; Sobreviventes; Violência; Adaptação Psicológica; Adolescente; Adulto; Mulheres Maltratadas; Feminino; Humanos; Maus-Tratos Conjugais; Transtornos de Estresse Pós-Traumáticos; Adulto Jovem

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor / Violência / Sobreviventes / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Limite: Adolescent / Adult / Female / Humans Idioma: En Revista: PLoS One Ano de publicação: 2021 Tipo de documento: Article

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