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

Infodemiology and Infoveillance (1369) Back Pain (116) Machine Learning (1505) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1667) Infoveillance and Social Listening (214) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26093, first published .
Investigating Individuals’ Perceptions Regarding the Context Around the Low Back Pain Experience: Topic Modeling Analysis of Twitter Data

Investigating Individuals’ Perceptions Regarding the Context Around the Low Back Pain Experience: Topic Modeling Analysis of Twitter Data

Investigating Individuals’ Perceptions Regarding the Context Around the Low Back Pain Experience: Topic Modeling Analysis of Twitter Data

Authors of this article:

Robert1 ;   Pari Delir Haghighi1 Author Orcid Image ;   Frada Burstein1 Author Orcid Image ;   Donna Urquhart2 Author Orcid Image ;   Flavia Cicuttini2 Author Orcid Image
Article Authors Cited by (3) Tweetations (8) Metrics

Robert   1 * ;   Pari Delir Haghighi   1 * , PhD ;   Frada Burstein   1 * , PhD ;   Donna Urquhart   2 * , PhD ;   Flavia Cicuttini   2 * , PhD, MD

1 Department of Human-Centred Computing, Faculty of Information Technology, Monash University, Caulfield East, Australia

2 Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia

*all authors contributed equally

Corresponding Author:

  • Pari Delir Haghighi, PhD
  • Department of Human-Centred Computing
  • Faculty of Information Technology
  • Monash University
  • Building H, Level 6
  • 900 Dandenong Road
  • Caulfield East, 3145
  • Australia
  • Phone: 61 99032355
  • Email: pari.delirhaghighi@monash.edu