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

Infodemiology and Infoveillance (967) Back Pain (84) Machine Learning (954) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1225) Infoveillance and Social Listening (131) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (785)

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:

Robert 1 ;   Pari Delir Haghighi 1 Author Orcid Image ;   Frada Burstein 1 Author Orcid Image ;   Donna Urquhart 2 Author Orcid Image ;   Flavia Cicuttini 2 Author Orcid Image
Article Authors Cited by Tweetations (10) 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 , AU

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

*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
  • AU
  • Phone: 61 99032355
  • Email: pari.delirhaghighi@monash.edu