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

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 , KR

2 Health Information and Strategy Center, Samsung Medical Center , Seoul , KR

3 Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul , KR

4 Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul , KR

*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
  • KR
  • Phone: 82 10-5386-6597
  • Email: wc.cha@samsung.com