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Harnessing the potential of machine learning and artificial intelligence for dementia research.
Ranson, Janice M; Bucholc, Magda; Lyall, Donald; Newby, Danielle; Winchester, Laura; Oxtoby, Neil P; Veldsman, Michele; Rittman, Timothy; Marzi, Sarah; Skene, Nathan; Al Khleifat, Ahmad; Foote, Isabelle F; Orgeta, Vasiliki; Kormilitzin, Andrey; Lourida, Ilianna; Llewellyn, David J.
Afiliación
  • Ranson JM; University of Exeter Medical School, College House, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK. J.Ranson@exeter.ac.uk.
  • Bucholc M; Cognitive Analytics Research Lab, School of Computing, Engineering & Intelligent Systems, Ulster University, Derry, UK.
  • Lyall D; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
  • Newby D; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Winchester L; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Oxtoby NP; Department of Computer Science, UCL Centre for Medical Image Computing, University College London, London, UK.
  • Veldsman M; Cambridge Cognition, Cambridge, UK.
  • Rittman T; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
  • Marzi S; UK Dementia Research Institute, Imperial College London, London, UK.
  • Skene N; Department of Brain Sciences, Imperial College London, London, UK.
  • Al Khleifat A; UK Dementia Research Institute, Imperial College London, London, UK.
  • Foote IF; Department of Brain Sciences, Imperial College London, London, UK.
  • Orgeta V; Department of Basic and Clinical Neuroscience, King's College London, London, UK.
  • Kormilitzin A; University of Colorado Boulder, Boulder, USA.
  • Lourida I; Division of Psychiatry, University College London, London, UK.
  • Llewellyn DJ; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Brain Inform ; 10(1): 6, 2023 Feb 24.
Article en En | MEDLINE | ID: mdl-36829050
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Inform Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Inform Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido