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

Formative Evaluation of Digital Health Interventions (2491) Natural Language Processing (706) Quality/Credibility of eHealth Information and Trust Issues (544) Information Seeking, Information Needs (481) Natural Language Processing (24) Infodemic Management (49) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52995, first published .
Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (HONcode): Model Development and Validation Study

Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (HONcode): Model Development and Validation Study

Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (HONcode): Model Development and Validation Study

Authors of this article:

Azadeh Bayani1, 2 Author Orcid Image ;   Alexandre Ayotte1, 2 Author Orcid Image ;   Jean Noel Nikiema1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Azadeh Bayani   1, 2 * , MSc ;   Alexandre Ayotte   1, 2 * , MSc ;   Jean Noel Nikiema   1, 2, 3 * , MD, PhD

1 Centre de recherche en santé publique, Université de Montréal et Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l’Île-de-Montréal, Montréal, QC, Canada

2 Laboratoire Transformation Numérique en Santé, Montreal, QC, Canada

3 Department of Management, Evaluation and Health Policy, School of Public Health, Université de Montréal, Montéal, QC, Canada

*all authors contributed equally

Corresponding Author:

  • Azadeh Bayani, MSc
  • Centre de recherche en santé publique
  • Université de Montréal et Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l’Île-de-Montréal
  • -
  • Montréal, QC, H3C 3J7
  • Canada
  • Phone: 1 4389980241
  • Email: azadeh.bayani@umontreal.ca