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Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports.
Casey, Arlene; Davidson, Emma; Grover, Claire; Tobin, Richard; Grivas, Andreas; Zhang, Huayu; Schrempf, Patrick; O'Neil, Alison Q; Lee, Liam; Walsh, Michael; Pellie, Freya; Ferguson, Karen; Cvoro, Vera; Wu, Honghan; Whalley, Heather; Mair, Grant; Whiteley, William; Alex, Beatrice.
Afiliación
  • Casey A; Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
  • Davidson E; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Grover C; School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
  • Tobin R; School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
  • Grivas A; School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
  • Zhang H; Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
  • Schrempf P; Canon Medical Research Europe Ltd., AI Research, Edinburgh, United Kingdom.
  • O'Neil AQ; School of Computer Science, University of St Andrews, St Andrews, United Kingdom.
  • Lee L; Canon Medical Research Europe Ltd., AI Research, Edinburgh, United Kingdom.
  • Walsh M; School of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
  • Pellie F; Medical School, University of Edinburgh, Edinburgh, United Kingdom.
  • Ferguson K; Intensive Care Department, University Hospitals Bristol and Weston, Bristol, United Kingdom.
  • Cvoro V; National Horizons Centre, Teesside University, Darlington, United Kingdom.
  • Wu H; School of Health and Life Sciences, Teesside University, Middlesbrough, United Kingdom.
  • Whalley H; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Mair G; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Whiteley W; Department of Geriatric Medicine, NHS Fife, Fife, United Kingdom.
  • Alex B; Institute of Health Informatics, University College London, London, United Kingdom.
Front Digit Health ; 5: 1184919, 2023.
Article en En | MEDLINE | ID: mdl-37840686
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Digit Health Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido