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A clinically applicable approach to continuous prediction of future acute kidney injury.
Tomasev, Nenad; Glorot, Xavier; Rae, Jack W; Zielinski, Michal; Askham, Harry; Saraiva, Andre; Mottram, Anne; Meyer, Clemens; Ravuri, Suman; Protsyuk, Ivan; Connell, Alistair; Hughes, Cían O; Karthikesalingam, Alan; Cornebise, Julien; Montgomery, Hugh; Rees, Geraint; Laing, Chris; Baker, Clifton R; Peterson, Kelly; Reeves, Ruth; Hassabis, Demis; King, Dominic; Suleyman, Mustafa; Back, Trevor; Nielson, Christopher; Ledsam, Joseph R; Mohamed, Shakir.
Afiliação
  • Tomasev N; DeepMind, London, UK. nenadt@google.com.
  • Glorot X; DeepMind, London, UK.
  • Rae JW; DeepMind, London, UK.
  • Zielinski M; CoMPLEX, Computer Science, University College London, London, UK.
  • Askham H; DeepMind, London, UK.
  • Saraiva A; DeepMind, London, UK.
  • Mottram A; DeepMind, London, UK.
  • Meyer C; DeepMind, London, UK.
  • Ravuri S; DeepMind, London, UK.
  • Protsyuk I; DeepMind, London, UK.
  • Connell A; DeepMind, London, UK.
  • Hughes CO; DeepMind, London, UK.
  • Karthikesalingam A; DeepMind, London, UK.
  • Cornebise J; DeepMind, London, UK.
  • Montgomery H; DeepMind, London, UK.
  • Rees G; University College London, London, UK.
  • Laing C; Institute for Human Health and Performance, University College London, London, UK.
  • Baker CR; Institute of Cognitive Neuroscience, University College London, London, UK.
  • Peterson K; University College London Hospitals, London, UK.
  • Reeves R; Department of Veterans Affairs, Denver, CO, USA.
  • Hassabis D; VA Salt Lake City Healthcare System, Salt Lake City, UT, USA.
  • King D; Division of Epidemiology, University of Utah, Salt Lake City, UT, USA.
  • Suleyman M; Department of Veterans Affairs, Nashville, TN, USA.
  • Back T; DeepMind, London, UK.
  • Nielson C; DeepMind, London, UK.
  • Ledsam JR; DeepMind, London, UK.
  • Mohamed S; DeepMind, London, UK.
Nature ; 572(7767): 116-119, 2019 08.
Article em En | MEDLINE | ID: mdl-31367026
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Laboratório Clínico / Injúria Renal Aguda Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Laboratório Clínico / Injúria Renal Aguda Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article