Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41100, first published .
Supervised Relation Extraction Between Suicide-Related Entities and Drugs: Development and Usability Study of an Annotated PubMed Corpus

Supervised Relation Extraction Between Suicide-Related Entities and Drugs: Development and Usability Study of an Annotated PubMed Corpus

Supervised Relation Extraction Between Suicide-Related Entities and Drugs: Development and Usability Study of an Annotated PubMed Corpus

Karina Karapetian   1 * , MS ;   Soo Min Jeon   2 * , PharmD, PhD ;   Jin-Won Kwon   3 , PhD ;   Young-Kyoon Suh   1 , PhD

1 School of Computer Science and Engineering, Kyungpook National University, Daegu, Republic of Korea

2 College of Pharmacy, Jeju National University, Jeju, Republic of Korea

3 BK21 FOUR Community-Based Intelligent Novel Drug Discovery Education Unit, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Young-Kyoon Suh, PhD
  • School of Computer Science and Engineering
  • Kyungpook National University
  • Rm. 520, IT-5
  • 80 Daehak-ro, Bukgu
  • Daegu, 41566
  • Republic of Korea
  • Phone: 82 53 950 6372
  • Email: yksuh@knu.ac.kr