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

Applications of AI (104) Ethical, Legal, and Social Issues in AI (33)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47223, first published .
Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study

Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study

Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study

Authors of this article:

Matteo Malgaroli1 Author Orcid Image ;   Emily Tseng2 Author Orcid Image ;   Thomas D Hull3 Author Orcid Image ;   Emma Jennings1 Author Orcid Image ;   Tanzeem K Choudhury2 Author Orcid Image ;   Naomi M Simon1 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Journals

  1. Malgaroli M, McDuff D. An overview of diagnostics and therapeutics using large language models. Journal of Traumatic Stress 2024;37(5):754 View
  2. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
  3. Kang X, Stamolampros P. Unveiling public perceptions at the beginning of lockdown: an application of structural topic modeling and sentiment analysis in the UK and India. BMC Public Health 2024;24(1) View