Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67513, first published .
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

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

Woohyuk Jeon   1 * ;   Minjae Park   1 * ;   Doyeon An   1 , MPH ;   Wonshik Nam   1 ;   Ju-Young Shin   2 , PhD ;   Seunghee Lee   3 , PhD ;   Suehyun Lee   1 , PhD

1 Department of Computer Engineering, College of IT Convergence, Gachon University, Seongnam, Republic of Korea

2 School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea

3 Konyang Medical Data Research Group, Konyang University Hospital, Daejeon, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Suehyun Lee, PhD
  • Department of Computer Engineering
  • College of IT Convergence, Gachon University
  • AI·Engineering Building, 317A, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do
  • Seongnam 13120
  • Republic of Korea
  • Phone: 82 010-9012-9364
  • Fax: 82 031-750-5333
  • Email: leesh@gachon.ac.kr