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Deep learning for electronic health records: A comparative review of multiple deep neural architectures.
Ayala Solares, Jose Roberto; Diletta Raimondi, Francesca Elisa; Zhu, Yajie; Rahimian, Fatemeh; Canoy, Dexter; Tran, Jenny; Pinho Gomes, Ana Catarina; Payberah, Amir H; Zottoli, Mariagrazia; Nazarzadeh, Milad; Conrad, Nathalie; Rahimi, Kazem; Salimi-Khorshidi, Gholamreza.
Afiliação
  • Ayala Solares JR; The George Institute for Global Health (UK), University of Oxford, United Kingdom; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, United Kingdom.
  • Diletta Raimondi FE; The George Institute for Global Health (UK), University of Oxford, United Kingdom.
  • Zhu Y; The George Institute for Global Health (UK), University of Oxford, United Kingdom. Electronic address: yajie.zhu@georgeinstitute.ox.ac.uk.
  • Rahimian F; The George Institute for Global Health (UK), University of Oxford, United Kingdom.
  • Canoy D; The George Institute for Global Health (UK), University of Oxford, United Kingdom; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, United Kingdom; Faculty of Medicine, University of New South Wales, Sydney, Australia.
  • Tran J; The George Institute for Global Health (UK), University of Oxford, United Kingdom.
  • Pinho Gomes AC; The George Institute for Global Health (UK), University of Oxford, United Kingdom.
  • Payberah AH; The George Institute for Global Health (UK), University of Oxford, United Kingdom.
  • Zottoli M; The George Institute for Global Health (UK), University of Oxford, United Kingdom.
  • Nazarzadeh M; The George Institute for Global Health (UK), University of Oxford, United Kingdom; Collaboration Center of Meta-Analysis Research, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.
  • Conrad N; The George Institute for Global Health (UK), University of Oxford, United Kingdom.
  • Rahimi K; The George Institute for Global Health (UK), University of Oxford, United Kingdom; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, United Kingdom.
  • Salimi-Khorshidi G; The George Institute for Global Health (UK), University of Oxford, United Kingdom.
J Biomed Inform ; 101: 103337, 2020 01.
Article em En | MEDLINE | ID: mdl-31916973
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Aprendizado Profundo Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / Aprendizado Profundo Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido