Accessibility settings

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

Natural Language Processing (1311) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (277) Machine Learning (3265) Generative Language Models Including ChatGPT (1572)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67513, first published .
Person holding various pills and supplements in their hand

Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach

Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach

Authors of this article:

Woohyuk Jeon1 Author Orcid Image ;   Minjae Park1 Author Orcid Image ;   Doyeon An1 Author Orcid Image ;   Wonshik Nam1 Author Orcid Image ;   Ju-Young Shin2 Author Orcid Image ;   Seunghee Lee3 Author Orcid Image ;   Suehyun Lee1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Nandi S, Banerjee S, Manna D, Awasthi A, Biswas A, Das A, Mukherjee B, Mitra P, Mandal M. Targeting of HSP27 and MMP-2/9 Crosstalk by High-Throughput Drug Repurposing Strategies Identifies Paroxetine as a Potential Candidate in Glioblastoma. Journal of Medicinal Chemistry 2026;69(4):4659 View
  2. Park J, Kim M, Lee S. AI Pharmacovigilance Workflow for Detecting Neurological Adverse Events from Reports, Notes, and Literature. Pharmacophore 2025;16(3):42 View
  3. Du Z, Wang Z, Chen Y, Li B, Wan X, Ren T, Chen H, Liu L, Jin Q, Zhang Y, Zhang Y, Bai J, Xie H, Chen X, Ren X, Zhang D. KAN-PROSPECT: a Kolmogorov–Arnold Networks–integrated framework for predicting the effects and adverse reactions of natural products via transfer learning. Scientific Reports 2026;16(1) View

Conference Proceedings

  1. Shovon R, Sabbir M, Chowdhury T, Alam M, Hasan M, Urmi S, Arif M. 2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE). Hybrid Transformer-Based Approaches for Pharmacovigilance: Detecting Adverse Drug Reaction from Patient-Generated Drug Reviews View
  2. Wang Z, Zhu L. Proceedings of the 2026 2nd International Conference on Health Informatization and Data Analysis. Drug Side Effect Prediction: A Digitized Health Management Method Based on NLP and Chemical Features View