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Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data.
Baecker, Lea; Dafflon, Jessica; da Costa, Pedro F; Garcia-Dias, Rafael; Vieira, Sandra; Scarpazza, Cristina; Calhoun, Vince D; Sato, João R; Mechelli, Andrea; Pinaya, Walter H L.
Afiliação
  • Baecker L; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Dafflon J; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • da Costa PF; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Garcia-Dias R; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Vieira S; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Scarpazza C; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Calhoun VD; Department of General Psychology, University of Padua, Padua, Italy.
  • Sato JR; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Atlanta, Georgia, USA.
  • Mechelli A; Georgia Institute of Technology, Emory University, Georgia, USA.
  • Pinaya WHL; Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, São Paulo, Brazil.
Hum Brain Mapp ; 42(8): 2332-2346, 2021 06 01.
Article em En | MEDLINE | ID: mdl-33738883
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética / Neuroimagem / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO 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: Encéfalo / Imageamento por Ressonância Magnética / Neuroimagem / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido