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

Machine Learning (1465) Myocardial Infarction (Heart Attack) (44)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15932, first published .
Prediction of Cardiac Arrest in the Emergency Department Based on Machine Learning and Sequential Characteristics: Model Development and Retrospective Clinical Validation Study

Prediction of Cardiac Arrest in the Emergency Department Based on Machine Learning and Sequential Characteristics: Model Development and Retrospective Clinical Validation Study

Prediction of Cardiac Arrest in the Emergency Department Based on Machine Learning and Sequential Characteristics: Model Development and Retrospective Clinical Validation Study

Authors of this article:

Sungjun Hong1 Author Orcid Image ;   Sungjoo Lee1 Author Orcid Image ;   Jeonghoon Lee1 Author Orcid Image ;   Won Chul Cha1, 2, 3 Author Orcid Image ;   Kyunga Kim1, 4 Author Orcid Image
Article Authors Cited by (25) Tweetations (1) Metrics

Sungjun Hong   1 , MS ;   Sungjoo Lee   1 , BS ;   Jeonghoon Lee   1 , MD ;   Won Chul Cha   1, 2, 3 * , MD ;   Kyunga Kim   1, 4 * , PhD

1 Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea

2 Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

3 Health Information and Strategy Center, Samsung Medical Center, Seoul, Republic of Korea

4 Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Won Chul Cha, MD
  • Department of Emergency Medicine
  • Samsung Medical Center
  • Sungkyunkwan University School of Medicine
  • 81 Irwon-ro
  • Gangnam-gu
  • Seoul, 06351
  • Republic of Korea
  • Phone: 82 10-5386-6597
  • Fax: 82 2-2148-7899
  • Email: wc.cha@samsung.com