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Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy.
Gabbay, Frances H; Wynn, Gary H; Georg, Matthew W; Gildea, Sarah M; Kennedy, Chris J; King, Andrew J; Sampson, Nancy A; Ursano, Robert J; Stein, Murray B; Wagner, James R; Kessler, Ronald C; Capaldi, Vincent F.
Afiliação
  • Gabbay FH; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
  • Wynn GH; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.
  • Georg MW; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
  • Gildea SM; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
  • Kennedy CJ; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.
  • King AJ; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
  • Sampson NA; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.
  • Ursano RJ; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
  • Stein MB; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
  • Wagner JR; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
  • Kessler RC; Department of Psychiatry, University of California San Diego, La Jolla, California.
  • Capaldi VF; Psychiatric Service, VA San Diego Healthcare System, San Diego, California.
J Clin Sleep Med ; 19(8): 1399-1410, 2023 08 01.
Article em En | MEDLINE | ID: mdl-37078194
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Distúrbios do Início e da Manutenção do Sono / Militares Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Clin Sleep Med Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Distúrbios do Início e da Manutenção do Sono / Militares Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Clin Sleep Med Ano de publicação: 2023 Tipo de documento: Article