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Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods.
Yu, Zehao; Yang, Xi; Sweeting, Gianna L; Ma, Yinghan; Stolte, Skylar E; Fang, Ruogu; Wu, Yonghui.
Afiliação
  • Yu Z; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
  • Yang X; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
  • Sweeting GL; Department of Biomedical Engineering, College of Engineering, University of Florida, Gainesville, FL, USA.
  • Ma Y; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
  • Stolte SE; Department of Biomedical Engineering, College of Engineering, University of Florida, Gainesville, FL, USA.
  • Fang R; Department of Biomedical Engineering, College of Engineering, University of Florida, Gainesville, FL, USA.
  • Wu Y; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA. yonghui.wu@ufl.edu.
BMC Med Inform Decis Mak ; 22(Suppl 3): 255, 2022 09 27.
Article em En | MEDLINE | ID: mdl-36167551
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Retinopatia Diabética Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Retinopatia Diabética Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article