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Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums...

Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_86b31b83fe5040e1b9349428177d03a6

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

About this item

Full title

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

Publisher

Canada: Journal of Medical Internet Research

Journal title

Journal of medical Internet research, 2025-01, Vol.27 (4), p.e54601

Language

English

Formats

Publication information

Publisher

Canada: Journal of Medical Internet Research

More information

Scope and Contents

Contents

The 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 social media for public health insights. However, the detection of drug discontinua...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_86b31b83fe5040e1b9349428177d03a6

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_86b31b83fe5040e1b9349428177d03a6

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/54601

How to access this item