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A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study.
Mitchell, Joseph Ross; Szepietowski, Phillip; Howard, Rachel; Reisman, Phillip; Jones, Jennie D; Lewis, Patricia; Fridley, Brooke L; Rollison, Dana E.
Afiliación
  • Mitchell JR; Department of Machine Learning, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
  • Szepietowski P; Department of Medicine, Faculty of Medicine & Dentistry, and the Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada.
  • Howard R; Alberta Health Services, Edmonton, AB, Canada.
  • Reisman P; Department of Health Data Services, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
  • Jones JD; Department of Health Data Services, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
  • Lewis P; Department of Health Data Services, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
  • Fridley BL; Department of Health Data Services, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
  • Rollison DE; Department of Health Data Services, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
J Med Internet Res ; 24(3): e27210, 2022 03 23.
Article en En | MEDLINE | ID: mdl-35319481

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá