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Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.
Preston, Sam; Wei, Mu; Rao, Rajesh; Tinn, Robert; Usuyama, Naoto; Lucas, Michael; Gu, Yu; Weerasinghe, Roshanthi; Lee, Soohee; Piening, Brian; Tittel, Paul; Valluri, Naveen; Naumann, Tristan; Bifulco, Carlo; Poon, Hoifung.
Afiliação
  • Preston S; Microsoft Research, Redmond, WA, USA.
  • Wei M; Microsoft Research, Redmond, WA, USA.
  • Rao R; Microsoft Research, Redmond, WA, USA.
  • Tinn R; Microsoft Research, Redmond, WA, USA.
  • Usuyama N; Microsoft Research, Redmond, WA, USA.
  • Lucas M; Microsoft Research, Redmond, WA, USA.
  • Gu Y; Microsoft Research, Redmond, WA, USA.
  • Weerasinghe R; Providence St Joseph's Health, Portland, OR, USA.
  • Lee S; Providence St Joseph's Health, Portland, OR, USA.
  • Piening B; Providence Genomics & Earle A. Chiles Research Institute, Portland, OR, USA.
  • Tittel P; Providence Genomics & Earle A. Chiles Research Institute, Portland, OR, USA.
  • Valluri N; Microsoft Research, Redmond, WA, USA.
  • Naumann T; Microsoft Research, Redmond, WA, USA.
  • Bifulco C; Providence Genomics & Earle A. Chiles Research Institute, Portland, OR, USA.
  • Poon H; Microsoft Research, Redmond, WA, USA.
Patterns (N Y) ; 4(4): 100726, 2023 Apr 14.
Article em En | MEDLINE | ID: mdl-37123439
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Patterns (N Y) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Patterns (N Y) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos