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

Clinical Information and Decision Making (1438) Machine Learning (1505) Artificial Intelligence (1430) Clinical Informatics (1050) Cardiac Diagnostics (16) Myocardial Infarction (Heart Attack) (45)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62890, first published .
Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study

Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study

Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study

Authors of this article:

Yun Kwan Kim1, 2 Author Orcid Image ;   Won-Doo Seo1 Author Orcid Image ;   Sun Jung Lee1 Author Orcid Image ;   Ja Hyung Koo1 Author Orcid Image ;   Gyung Chul Kim1 Author Orcid Image ;   Hee Seok Song1 Author Orcid Image ;   Minji Lee3 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Yun Kwan Kim   1, 2 , MSc ;   Won-Doo Seo   1 , MSc ;   Sun Jung Lee   1 , PhD ;   Ja Hyung Koo   1 , PhD ;   Gyung Chul Kim   1 , MSE ;   Hee Seok Song   1 , MSE ;   Minji Lee   3 , PhD

1 Technology Development, Seers Technology Co. Ltd., Pyeongtaek-si, Gyeonggi-do, Republic of Korea

2 Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea

3 Department of Biomedical Software Engineering, The Catholic University of Korea, Bucheon-si, Gyeonggi-do, Republic of Korea

Corresponding Author:

  • Minji Lee, PhD
  • Department of Biomedical Software Engineering
  • The Catholic University of Korea
  • 43, Jibong-ro
  • Bucheon-si, Gyeonggi-do, 14662
  • Republic of Korea
  • Phone: 82 2-2164-4364
  • Email: minjilee@catholic.ac.kr