Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63983, first published .
Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Heonyi Lee   1 * , MS ;   Yi-Jun Kim   2, 3 * , MD, PhD ;   Jin-Hong Kim   4 , PhD ;   Soo-Kyung Kim   5 , MD, PhD ;   Tae-Dong Jeong   5 , MD, PhD

1 Interdisciplinary Program in Bioinformatics, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea

2 Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea

3 Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea

4 Department of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea

5 Department of Laboratory Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Tae-Dong Jeong, MD, PhD
  • Department of Laboratory Medicine
  • College of Medicine
  • Ewha Womans University
  • 260 Gonghang-daero, Gangseo-gu
  • Seoul 07804
  • Republic of Korea
  • Phone: 82 269863386
  • Fax: 82 269863389
  • Email: tdjeong@ewha.ac.kr