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A new machine learning-derived screening measure for differentiating bipolar from unipolar mood disorders.
Parker, Gordon; Spoelma, Michael J; Tavella, Gabriela; Alda, Martin; Dunner, David L; O'Donovan, Claire; Rybakowski, Janusz K; Bayes, Adam; Sharma, Verinder; Boyce, Philip; Manicavasagar, Vijaya.
Afiliação
  • Parker G; School of Psychiatry, University of New South Wales, Sydney, Australia. Electronic address: g.parker@unsw.edu.au.
  • Spoelma MJ; School of Psychiatry, University of New South Wales, Sydney, Australia.
  • Tavella G; School of Psychiatry, University of New South Wales, Sydney, Australia.
  • Alda M; Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Dunner DL; Center for Anxiety and Depression, Mercer Island, Washington, United States; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, United States.
  • O'Donovan C; Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Rybakowski JK; Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland.
  • Bayes A; School of Psychiatry, University of New South Wales, Sydney, Australia; Black Dog Institute, Sydney, Australia.
  • Sharma V; Department of Psychiatry, Western University, London, Ontario, Canada.
  • Boyce P; Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, Australia.
  • Manicavasagar V; School of Psychiatry, University of New South Wales, Sydney, Australia; Black Dog Institute, Sydney, Australia.
J Affect Disord ; 299: 513-516, 2022 02 15.
Article em En | MEDLINE | ID: mdl-34952109
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Bipolar / Transtornos do Humor Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: J Affect Disord Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Bipolar / Transtornos do Humor Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: J Affect Disord Ano de publicação: 2022 Tipo de documento: Article