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

Clinical Information and Decision Making (1328) Decision Support for Health Professionals (1137) Electronic Health Records (966) Machine Learning (1385)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19512, first published .
Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study

Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study

Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study

Authors of this article:

Hyung Jun Park1 Author Orcid Image ;   Dae Yon Jung2 Author Orcid Image ;   Wonjun Ji1 Author Orcid Image ;   Chang-Min Choi1 Author Orcid Image
Article Authors Cited by (10) Tweetations (7) Metrics

Hyung Jun Park   1 , MD ;   Dae Yon Jung   2 , PhD ;   Wonjun Ji   1 , MD ;   Chang-Min Choi   1 , MD, PhD

1 Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

2 Big Data & AI Lab, Hana Institute of Technology, Hana TI, Seoul, Republic of Korea

Corresponding Author:

  • Chang-Min Choi, MD, PhD
  • Department of Pulmonary and Critical Care Medicine
  • Asan Medical Center
  • University of Ulsan College of Medicine
  • Seoul
  • Republic of Korea
  • Phone: 82 01097926907
  • Email: ccm@amc.seoul.kr