This paper is in the following e-collection/theme issue:

Theme Issue: The New Digital Normal in Health and Medicine (33) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) JMIR Theme Issue: COVID-19 Special Issue (2452) Natural Language Processing (693) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Vaccination and Immunization in the Digital Age (374)

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

Authors of this article:

Lea Lösch1 Author Orcid Image ;   Teun Zuiderent-Jerak1 Author Orcid Image ;   Florian Kunneman2 Author Orcid Image ;   Elena Syurina1 Author Orcid Image ;   Marloes Bongers3 Author Orcid Image ;   Mart L Stein3 Author Orcid Image ;   Michelle Chan2 Author Orcid Image ;   Willemine Willems1 Author Orcid Image ;   Aura Timen1, 3, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

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