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

Journals

  1. Shakhbazau A. Fine-tuning LLM hyperparameters to align semantic and physiological contexts of aging-related pathways. Molecular Diversity 2025 View
  2. Macieira T, Bjarnadottir R, Salgado P, Baranwal A, Semenov A, Priola K, Pestana P, Okafor S, Mena N, Montoya N, Sargent L, Presley A, Yao Y, Keenan G. Making nursing visible: AI-assisted standardization of electronic health record interventions using generative pre-trained transformer models and retrieval-augmented generation process. Nursing Outlook 2025;73(5):102494 View
  3. Sidorov G, Ahmad M, Basile P, Waqas M, Orji R, Batyrshin I. Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal Analysis. JMIR Infodemiology 2025;5:e77279 View