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

Formative Evaluation of Digital Health Interventions (2280) Artificial Intelligence (1276) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1583) Machine Learning (1440) Natural Language Processing (662) Infodemiology and Infoveillance (1304) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1027) Tools, Programs and Algorithms (258)

Published on in Vol 5, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31366, first published .
Contemporary English Pain Descriptors as Detected on Social Media Using Artificial Intelligence and Emotion Analytics Algorithms: Cross-sectional Study

Contemporary English Pain Descriptors as Detected on Social Media Using Artificial Intelligence and Emotion Analytics Algorithms: Cross-sectional Study

Contemporary English Pain Descriptors as Detected on Social Media Using Artificial Intelligence and Emotion Analytics Algorithms: Cross-sectional Study

Authors of this article:

Ming Yi Tan1 Author Orcid Image ;   Charlene Enhui Goh1 Author Orcid Image ;   Hee Hon Tan1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Ming Yi Tan   1 , BDS, MDS ;   Charlene Enhui Goh   1 , BDS, MPH, DrPH ;   Hee Hon Tan   1 , BDS, MDS

1 Faculty of Dentistry, National University of Singapore, Singapore, Singapore

Corresponding Author:

  • Ming Yi Tan, BDS, MDS
  • Faculty of Dentistry, National University of Singapore
  • 9 Lower Kent Ridge Road
  • Singapore, 119085
  • Singapore
  • Phone: 65 67725340
  • Email: dentmy@nus.edu.sg