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

Applications of AI (246) Drug Discovery and Clinical Trials (5) Innovations in Clinical Trials and Research Data Management (117) Machine Learning (1971) Secondary Use of Clinical Data for Research and Surveillance (453) Recruitment of Research Participants (365)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64845, first published .
Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Authors of this article:

Byungeun Shon1 Author Orcid Image ;   Sook Jin Seong2 Author Orcid Image ;   Eun Jung Choi3 Author Orcid Image ;   Mi-Ri Gwon3 Author Orcid Image ;   Hae Won Lee3 Author Orcid Image ;   Jaechan Park4 Author Orcid Image ;   Ho-Young Chung1 Author Orcid Image ;   Sungmoon Jeong1 Author Orcid Image ;   Young-Ran Yoon3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Byungeun Shon   1 , MS ;   Sook Jin Seong   2 , MD, PhD ;   Eun Jung Choi   3 , PhD ;   Mi-Ri Gwon   3 , PhD ;   Hae Won Lee   3 , MD, PhD ;   Jaechan Park   4 , MD, PhD ;   Ho-Young Chung   1 , MD, PhD ;   Sungmoon Jeong   1 , PhD ;   Young-Ran Yoon   3 , MD, PhD

1 Department of Medical Informatics, School of Medicine, Kyungpook National University, Daegu, Republic of Korea

2 Center for Convergence Medical Research, School of Medicine, Kyungpook National University, Daegu, Republic of Korea

3 Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea

4 Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu, Republic of Korea

Corresponding Author:

  • Young-Ran Yoon, MD, PhD
  • Department of Molecular Medicine
  • School of Medicine, Kyungpook National University
  • 680 Gukchaebosang-ro, Jung-gu
  • Daegu 41944
  • Republic of Korea
  • Phone: 82 534204950
  • Email: yry@knu.ac.kr