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

Infoveillance and Social Listening (319) Infodemiology and Infoveillance (1581) AI Applications in Public Health (36) Natural Language Processing (938) Opioid and Related Substance Misuse (207)

Published on in Vol 6 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77783, first published .
Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data

Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data

Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data

Authors of this article:

Muhammad Ahmad1 Author Orcid Image ;   Rita Orji2 Author Orcid Image ;   Maaz Amjad3 Author Orcid Image ;   Abubakar Siddique4 Author Orcid Image ;   Nailya Kubysheva5 Author Orcid Image ;   Ildar Batyrshin1 Author Orcid Image ;   Grigori Sidorov1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Muhammad Ahmad   1 , Mphil ;   Rita Orji   2 ;   Maaz Amjad   3 , PhD ;   Abubakar Siddique   4 , PhD ;   Nailya Kubysheva   5 , PhD ;   Ildar Batyrshin   1 ;   Grigori Sidorov   1

1 Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

2 Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada

3 Department of Computer Science, Texas Tech University, Lubbock, TX, United States

4 School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

5 Kazan Federal University, Kazan, Russian Federation

Corresponding Author:

  • Grigori Sidorov
  • Instituto Politécnico Nacional
  • Centro de Investigación en Computación
  • Juan de Dios Bátiz S/N, Nueva Industrial Vallejo, Gustavo A. Madero
  • Mexico City 07738
  • Mexico
  • Phone: 52 5591887293
  • Email: sidorov@cic.ipn.mx