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

Machine Learning (1401) Big Data (220) Electronic Health Records (971) Intensive Care Unit (ICU) (102) Clinical Information and Decision Making (1340) Clinical Informatics (919)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26426, first published .
Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study

Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study

Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study

Authors of this article:

MinDong Sung1 Author Orcid Image ;   Sangchul Hahn2 Author Orcid Image ;   Chang Hoon Han3 Author Orcid Image ;   Jung Mo Lee3 Author Orcid Image ;   Jayoung Lee2 Author Orcid Image ;   Jinkyu Yoo2 Author Orcid Image ;   Jay Heo4 Author Orcid Image ;   Young Sam Kim5 Author Orcid Image ;   Kyung Soo Chung5 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

MinDong Sung   1 * , MD ;   Sangchul Hahn   2 * , MSc ;   Chang Hoon Han   3 * , MD ;   Jung Mo Lee   3 , MD ;   Jayoung Lee   2 , MD, PhD ;   Jinkyu Yoo   2 , MSc ;   Jay Heo   4 , MSc ;   Young Sam Kim   5 , MD, PhD ;   Kyung Soo Chung   5 , MD, PhD

1 Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea

2 AITRICS. Inc, Seoul, Republic of Korea

3 Division of Pulmonology, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang-si, Republic of Korea

4 Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

5 Division of Pulmonology, Department of Internal Medicine, Yonsei University Health System, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Kyung Soo Chung, MD, PhD
  • Division of Pulmonology
  • Department of Internal Medicine
  • Yonsei University Health System
  • 50-1 Yonsei-ro, Seodaemun-gu
  • Seoul, 03722
  • Republic of Korea
  • Phone: 82 2227-8308
  • Email: chungks78@gmail.com