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

Theme Issue (2020): Nursing and COVID-19 (13) JMIR Theme Issue: COVID-19 Special Issue (2487) Theme Issue: Medical Informatics and COVID-19 (117) Machine Learning (1685) Nursing in a Hospital Setting (111)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40676, first published .
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

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 (2) 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