Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study
BackgroundThe implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of...
Saved in:
Main Authors: | William Trevena, Xiang Zhong, Michelle Alvarado, Alexander Semenov, Alp Oktay, Devin Devlin, Aarya Yogesh Gohil, Sai Harsha Chittimouju |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2025-01-01
|
Series: | Journal of Medical Internet Research |
Online Access: | https://www.jmir.org/2025/1/e54601 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Informal Caregivers Connecting on the Web: Content Analysis of Posts on Discussion Forums
by: Michelle L Foster, et al.
Published: (2025-01-01) -
The Russia-Africa Summit and Economic Forum: An Unprecedented Event in the History of African-Russian Relations
Published: (2020-03-01) -
Impact of discontinuation of cephazolin prophylaxis on the incidence of postoperative adverse events in cataract surgery
by: Kazutaka Uchida, et al.
Published: (2025-01-01) -
International forum in Kazan
by: Editorial Article
Published: (2022-05-01) -
Strategies for Conducting Community Forums
by: Lisa A. Guion
Published: (2004-01-01)