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Deep learning-based automated speech detection as a marker of social functioning in late-life depression.
Little, Bethany; Alshabrawy, Ossama; Stow, Daniel; Ferrier, I Nicol; McNaney, Roisin; Jackson, Daniel G; Ladha, Karim; Ladha, Cassim; Ploetz, Thomas; Bacardit, Jaume; Olivier, Patrick; Gallagher, Peter; O'Brien, John T.
Afiliação
  • Little B; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
  • Alshabrawy O; Interdisciplinary Computing and Complex BioSystems (ICOS) group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.
  • Stow D; Faculty of Science, Damietta University, New Damietta, Egypt.
  • Ferrier IN; Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK.
  • McNaney R; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
  • Jackson DG; Faculty of Engineering, Bristol University, Bristol, UK.
  • Ladha K; Open Lab, School of Computing, Newcastle University, Newcastle upon Tyne, UK.
  • Ladha C; Open Lab, School of Computing, Newcastle University, Newcastle upon Tyne, UK.
  • Ploetz T; Cascom Ltd, Newcastle upon Tyne, UK.
  • Bacardit J; School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA.
  • Olivier P; Interdisciplinary Computing and Complex BioSystems (ICOS) group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.
  • Gallagher P; Faculty of Information Technology, Monash University, Melbourne, Australia.
  • O'Brien JT; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
Psychol Med ; 51(9): 1441-1450, 2021 07.
Article em En | MEDLINE | ID: mdl-31944174
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fala / Envelhecimento / Transtorno Depressivo Maior / Aprendizado Profundo / Interação Social Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: Europa Idioma: En Revista: Psychol Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fala / Envelhecimento / Transtorno Depressivo Maior / Aprendizado Profundo / Interação Social Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: Europa Idioma: En Revista: Psychol Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido