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

Artificial Intelligence (1631) Natural Language Processing (770) Pharmacovigilance (153) mHealth for Data Collection and Research (1048) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1756) Machine Learning (1655) Medication Reconciliation (16) Generative Language Models Including ChatGPT (442) Infodemiology and Infoveillance (1433)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54601, first published .
Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study

Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study

Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study

Authors of this article:

William Trevena1 Author Orcid Image ;   Xiang Zhong1 Author Orcid Image ;   Michelle Alvarado1 Author Orcid Image ;   Alexander Semenov1 Author Orcid Image ;   Alp Oktay2 Author Orcid Image ;   Devin Devlin3 Author Orcid Image ;   Aarya Yogesh Gohil1 Author Orcid Image ;   Sai Harsha Chittimouju1 Author Orcid Image
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