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

Theme Issue: Nursing and COVID-19 (24) Machine Learning (3318) Nursing in a Hospital Setting (245) JMIR Theme Issue: COVID-19 Special Issue (4238) Theme Issue: Medical Informatics and COVID-19 (173)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40676, first published .
Tired healthcare worker in PPE with hand on forehead, symbolizing medical burnout.

Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions

Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions

Authors of this article:

Haoqiang Jiang1 Author Orcid Image ;   Arturo Castellanos2 Author Orcid Image ;   Alfred Castillo3 Author Orcid Image ;   Paulo J Gomes3 Author Orcid Image ;   Juanjuan Li4 Author Orcid Image ;   Debra VanderMeer3 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Wang Z, Ma Y, Song Y, Huang Y, Liang G, Zhong X, Qi M. The Utilization of Natural Language Processing for Analyzing Social Media Data in Nursing Research: A Scoping Review. Journal of Nursing Management 2024;2024(1) View
  2. Castellanos A, Jiang H, Gomes P, Vander Meer D, Castillo A. Large Language Models for Thematic Summarization in Qualitative Health Care Research: Comparative Analysis of Model and Human Performance. JMIR AI 2025;4:e64447 View
  3. Ikae C, Ben Souissi S, Bieri J, Müller T, Feuz-Schlunegger M, Golz C. A scoping review of natural language processing for detecting work-related stress among health professionals. Discover Computing 2026;29(1) View
  4. Gioiello G, Ivziku D, Renghea M, Daza A, Lo Monaco M, Anastasi G, Tusconi M, Curcio F, Lommi M, Gonzalez C. Occupational Distress Among Nurses Through Social Media Narratives: A Scoping Review. Healthcare 2026;14(19):3146 View