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Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial.
Rajpurkar, Pranav; Yang, Jingbo; Dass, Nathan; Vale, Vinjai; Keller, Arielle S; Irvin, Jeremy; Taylor, Zachary; Basu, Sanjay; Ng, Andrew; Williams, Leanne M.
Afiliação
  • Rajpurkar P; Department of Computer Science, Stanford University, Stanford, California.
  • Yang J; Department of Computer Science, Stanford University, Stanford, California.
  • Dass N; Department of Computer Science, Stanford University, Stanford, California.
  • Vale V; Department of Computer Science, Stanford University, Stanford, California.
  • Keller AS; Stanford Center for Precision Mental Health and Wellness, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
  • Irvin J; Department of Computer Science, Stanford University, Stanford, California.
  • Taylor Z; Stanford Center for Precision Mental Health and Wellness, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
  • Basu S; Center for Primary Care, Harvard Medical School, Boston, Massachusetts.
  • Ng A; Research and Analytics, Collective Health, San Francisco, California.
  • Williams LM; Division of Primary Care and Public Health, Imperial College London School of Public Health, London, United Kingdom.
JAMA Netw Open ; 3(6): e206653, 2020 06 01.
Article em En | MEDLINE | ID: mdl-32568399
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Citalopram / Sertralina / Transtorno Depressivo Maior / Eletroencefalografia / Cloridrato de Venlafaxina / Aprendizado de Máquina / Antidepressivos Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Citalopram / Sertralina / Transtorno Depressivo Maior / Eletroencefalografia / Cloridrato de Venlafaxina / Aprendizado de Máquina / Antidepressivos Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos