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

Machine Learning (1506) Clinical Informatics (1050) Clinical Information and Decision Making (1439) Decision Support for Health Professionals (1213)

Published on in Vol 8, No 3 (2020): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16117, first published .
Predicting Adverse Outcomes for Febrile Patients in the Emergency Department Using Sparse Laboratory Data: Development of a Time Adaptive Model

Predicting Adverse Outcomes for Febrile Patients in the Emergency Department Using Sparse Laboratory Data: Development of a Time Adaptive Model

Predicting Adverse Outcomes for Febrile Patients in the Emergency Department Using Sparse Laboratory Data: Development of a Time Adaptive Model

Authors of this article:

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

Sungjoo Lee   1 , BS ;   Sungjun Hong   1 , MS ;   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
  • Republic of Korea
  • Phone: 82 10-5386-6597
  • Email: wc.cha@samsung.com