Your browser doesn't support javascript.
loading
A systematic review of natural language processing applied to radiology reports.
Casey, Arlene; Davidson, Emma; Poon, Michael; Dong, Hang; Duma, Daniel; Grivas, Andreas; Grover, Claire; Suárez-Paniagua, Víctor; Tobin, Richard; Whiteley, William; Wu, Honghan; Alex, Beatrice.
Afiliação
  • Casey A; School of Literatures, Languages and Cultures (LLC), University of Edinburgh, Edinburgh, Scotland. Arlene.Casey@ed.ac.uk.
  • Davidson E; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.
  • Poon M; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.
  • Dong H; Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland.
  • Duma D; Health Data Research UK, London, UK.
  • Grivas A; School of Literatures, Languages and Cultures (LLC), University of Edinburgh, Edinburgh, Scotland.
  • Grover C; Institute for Language, Cognition and Computation, School of informatics, University of Edinburgh, Edinburgh, Scotland.
  • Suárez-Paniagua V; Institute for Language, Cognition and Computation, School of informatics, University of Edinburgh, Edinburgh, Scotland.
  • Tobin R; Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland.
  • Whiteley W; Health Data Research UK, London, UK.
  • Wu H; Institute for Language, Cognition and Computation, School of informatics, University of Edinburgh, Edinburgh, Scotland.
  • Alex B; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.
BMC Med Inform Decis Mak ; 21(1): 179, 2021 06 03.
Article em En | MEDLINE | ID: mdl-34082729

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Sistemas de Informação em Radiologia Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Sistemas de Informação em Radiologia Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido