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

Generative Language Models Including ChatGPT (760) Artificial Intelligence (2252) Machine Learning (2173) Infodemiology and Infoveillance (1580) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1781)

Published on in Vol 27 (2025)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53332, first published .
Exploring Inflammatory Bowel Disease Discourse on Reddit Throughout the COVID-19 Pandemic Using OpenAI’s GPT-3.5 Turbo Model: Classification Model Validation and Case Study

Exploring Inflammatory Bowel Disease Discourse on Reddit Throughout the COVID-19 Pandemic Using OpenAI’s GPT-3.5 Turbo Model: Classification Model Validation and Case Study

Exploring Inflammatory Bowel Disease Discourse on Reddit Throughout the COVID-19 Pandemic Using OpenAI’s GPT-3.5 Turbo Model: Classification Model Validation and Case Study

Authors of this article:

Tyler Babinski1, 2 Author Orcid Image ;   Sara Karley3 Author Orcid Image ;   Marita Cooper4 Author Orcid Image ;   Salma Shaik2 Author Orcid Image ;   Y Ken Wang2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Raveendran R, Singh N. Clinical superiority of belly-tendon montage over others for recording air-conducted ocular vestibular evoked myogenic potential. Scientific Reports 2026 View