Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44461, first published .
Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study

Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study

Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study

Lea Lösch   1 , MSc ;   Teun Zuiderent-Jerak   1 , PhD ;   Florian Kunneman   2 , PhD ;   Elena Syurina   1 , PhD ;   Marloes Bongers   3 , MD, PhD ;   Mart L Stein   3 , PhD ;   Michelle Chan   2 , MA, MSc ;   Willemine Willems   1 , PhD ;   Aura Timen   1, 3, 4 , Prof Dr, MD, PhD

1 Athena Institute, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands

2 Department of Computer Science, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands

3 Centre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands

4 Department of Primary and Community Care, Radboud University Medical Centre, Nijmegen, Netherlands

Corresponding Author:

  • Lea Lösch, MSc
  • Athena Institute, Faculty of Science
  • Vrije Universiteit Amsterdam
  • De Boelelaan 1105
  • Amsterdam, 1081 HV
  • Netherlands
  • Phone: 31 205987031
  • Email: lea.loesch@vu.nl