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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (225) Infoveillance and Social Listening (320) Machine Learning (2199) Natural Language Processing (943) Pharmacovigilance (180) Peer-to-Peer Support and Online Communities (829)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45289, first published .
Bidirectional Long Short-Term Memory–Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches

Bidirectional Long Short-Term Memory–Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches

Bidirectional Long Short-Term Memory–Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches

Authors of this article:

Chung-Chun Lee1 Author Orcid Image ;   Seunghee Lee2 Author Orcid Image ;   Mi-Hwa Song3 Author Orcid Image ;   Jong-Yeup Kim1, 2 Author Orcid Image ;   Suehyun Lee4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Cao M, Chi Y, Yu J, Yang Y, Meng R, Jia J. Adverse drug reaction signal detection via the long short-term memory model. Frontiers in Pharmacology 2025;16 View

Conference Proceedings

  1. Ray S, Pathak S. 2025 3rd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI). AI-Driven Systems for Automated Adverse Drug Reaction (ADR) Reporting: A Comparative Evaluation of NLP-Based Models for Real-Time Pharmacovigilance View