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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Nephrology/Renal Disorders (99) Infodemiology and Infoveillance (1558) Infoveillance and Social Listening (313) Natural Language Processing (917)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70128, first published .
Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse

Authors of this article:

Ravi Shankar1 Author Orcid Image ;   Qian Xu2 Author Orcid Image ;   Anjali Bundele1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Ravi Shankar   1 , PhD ;   Qian Xu   2 , PhD ;   Anjali Bundele   1 , MPH

1 Medical Affairs – Research Innovation & Enterprise, Alexandra Hospital, Singapore, Singapore

2 School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, United Kingdom

Corresponding Author:

  • Ravi Shankar, PhD
  • Medical Affairs – Research Innovation & Enterprise
  • Alexandra Hospital
  • 378 Alexandra Rd
  • Singapore 159964
  • Singapore
  • Phone: 65 6908 2222
  • Email: Ravi_SHANKAR@nuhs.edu.sg