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

Formative Evaluation of Digital Health Interventions (2353) Artificial Intelligence (1328) Machine Learning (1434) Clinical Informatics (989) Clinical Information and Decision Making (1374)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44763, first published .
Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database

Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database

Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database

Authors of this article:

Jinchul Kim1 Author Orcid Image ;   Yun Kwan Kim2 Author Orcid Image ;   Hyeyeon Kim3 Author Orcid Image ;   Hyojung Jung4 Author Orcid Image ;   Soonjeong Koh5 Author Orcid Image ;   Yujeong Kim6 Author Orcid Image ;   Dukyong Yoon6 Author Orcid Image ;   Hahn Yi7 Author Orcid Image ;   Hyung-Jun Kim8, 9 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Jinchul Kim   1 * , MD ;   Yun Kwan Kim   2 * , MSc ;   Hyeyeon Kim   3 , MS ;   Hyojung Jung   4 , BS ;   Soonjeong Koh   5 , MS ;   Yujeong Kim   6 , MS ;   Dukyong Yoon   6 , MD, PhD ;   Hahn Yi   7 * , MS ;   Hyung-Jun Kim   8, 9 * , MD

1 Division of Hematology-Oncology, Department of Internal Medicine, Inha University College of Medicine and Hospital, Incheon, Republic of Korea

2 Department of the Technology Development, Seers Technology Co, Ltd, Seongnam, Republic of Korea

3 Crowdworks Co, Ltd, Seoul, Republic of Korea

4 Healthcare Artificial Intelligence Team, National Cancer Center, Goyang, Republic of Korea

5 Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea

6 Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, Republic of Korea

7 Asan Medical Center, Asan Institute for Life Sciences, Seoul, Republic of Korea

8 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

9 Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Hyung-Jun Kim, MD
  • Division of Pulmonary and Critical Care Medicine
  • Department of Internal Medicine
  • Seoul National University Bundang Hospital
  • 82 Gumi-ro 173beon-gil, Bundang-gu
  • Seongnam, 13620
  • Republic of Korea
  • Phone: 82 31 787 7844
  • Fax: 82 31 787 4050
  • Email: dr.hjkim@snubh.org