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

Foundations of AI (57) JMIR Theme Issue: COVID-19 Special Issue (2546) Infodemiology and Infoveillance (1544) Quality/Credibility of eHealth Information and Trust Issues (646) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1130) Information Seeking, Information Needs (553) Health Information Exchange (140) Public Health Information Exchange Technologies (63) Infodemiology in Public Health Informatics (26) Machine Learning (2034)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55059, first published .
Targeting COVID-19 and Human Resources for Health News Information Extraction: Algorithm Development and Validation

Targeting COVID-19 and Human Resources for Health News Information Extraction: Algorithm Development and Validation

Targeting COVID-19 and Human Resources for Health News Information Extraction: Algorithm Development and Validation

Authors of this article:

Mathieu Ravaut1 Author Orcid Image ;   Ruochen Zhao1 Author Orcid Image ;   Duy Phung1 Author Orcid Image ;   Vicky Mengqi Qin1 Author Orcid Image ;   Dusan Milovanovic2 Author Orcid Image ;   Anita Pienkowska1 Author Orcid Image ;   Iva Bojic1 Author Orcid Image ;   Josip Car3 Author Orcid Image ;   Shafiq Joty1, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Garcia K, Berton L. Unlocking the potential of news: A systematic review of advantages and challenges for event detection and analysis. Computer Science Review 2026;59:100838 View