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

Formative Evaluation of Digital Health Interventions (2194) Artificial Intelligence (1189) Machine Learning (1373) Pharmacology and Pharmaceutics (49) Intensive Care Unit (ICU) (101) Clinical Information and Decision Making (1315) Decision Support for Health Professionals (1129)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45202, first published .
A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness

A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness

A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness

Authors of this article:

Dohyun Kim1 Author Orcid Image ;   Hyun-Soo Choi1, 2 Author Orcid Image ;   DongHoon Lee1 Author Orcid Image ;   Minkyu Kim1 Author Orcid Image ;   Yoon Kim1, 3 Author Orcid Image ;   Seon-Sook Han4 Author Orcid Image ;   Yeonjeong Heo4 Author Orcid Image ;   Ju-Hee Park5 Author Orcid Image ;   Jinkyeong Park6 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Dohyun Kim   1 * , MSc ;   Hyun-Soo Choi   1, 2 * , PhD ;   DongHoon Lee   1 , MSc ;   Minkyu Kim   1 , MSc ;   Yoon Kim   1, 3 , PhD ;   Seon-Sook Han   4 , MD, PhD ;   Yeonjeong Heo   4 , MD ;   Ju-Hee Park   5 , MD ;   Jinkyeong Park   6 , MD, PhD

1 Department of Research and Development, ZIOVISION Co, Ltd, Chuncheon, Republic of Korea

2 Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea

3 Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea

4 Department of Internal Medicine, Kangwon National University, Chuncheon, Republic of Korea

5 Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea

6 Department of Pulmonary, Allergy and Critical Care Medicine, School of Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jinkyeong Park, MD, PhD
  • Department of Pulmonary, Allergy and Critical Care Medicine, School of Medicine
  • Kyung Hee University Hospital at Gangdong
  • 892, Dongnam-ro, Gangdong-gu
  • Seoul, 05278
  • Republic of Korea
  • Phone: 82 1027747808
  • Email: pjk3318@gmail.com