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Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study.
Lösch, Lea; Zuiderent-Jerak, Teun; Kunneman, Florian; Syurina, Elena; Bongers, Marloes; Stein, Mart L; Chan, Michelle; Willems, Willemine; Timen, Aura.
Afiliação
  • Lösch L; Athena Institute, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Zuiderent-Jerak T; Athena Institute, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Kunneman F; Department of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Syurina E; Athena Institute, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Bongers M; Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands.
  • Stein ML; Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands.
  • Chan M; Department of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Willems W; Athena Institute, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Timen A; Athena Institute, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
J Med Internet Res ; 25: e44461, 2023 09 14.
Article em En | MEDLINE | ID: mdl-37610972
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article