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

Clinical Information and Decision Making (954) Electronic Health Records (810) Machine Learning (1059) Secondary Use of Clinical Data for Research and Surveillance (260) Clinical Informatics (581) Natural Language Processing (509) Tools, Programs and Algorithms (189) Artificial Intelligence (726) Big Data (174)

Published on in Vol 23 , No 12 (2021) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27008, first published .
A Novel Deep Learning–Based System for Triage in the Emergency Department Using Electronic Medical Records: Retrospective Cohort Study

A Novel Deep Learning–Based System for Triage in the Emergency Department Using Electronic Medical Records: Retrospective Cohort Study

A Novel Deep Learning–Based System for Triage in the Emergency Department Using Electronic Medical Records: Retrospective Cohort Study

Authors of this article:

Li-Hung Yao 1 Author Orcid Image ;   Ka-Chun Leung 1 Author Orcid Image ;   Chu-Lin Tsai 2 Author Orcid Image ;   Chien-Hua Huang 2 Author Orcid Image ;   Li-Chen Fu 1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Li-Hung Yao   1 * , MSc ;   Ka-Chun Leung   1 * , MSc ;   Chu-Lin Tsai   2 * , MD, ScD ;   Chien-Hua Huang   2 * , MD, PhD ;   Li-Chen Fu   1 * , PhD

1 Department of Computer Science and Information Engineering, National Taiwan University, Taipei, TW

2 Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, TW

*all authors contributed equally

Corresponding Author:

  • Li-Chen Fu, PhD
  • Department of Computer Science and Information Engineering
  • National Taiwan University
  • CSIE Der Tian Hall
  • No. 1, Sec. 4, Roosevelt Road
  • Taipei, 10617
  • TW
  • Phone: 886 0935545846
  • Email: lichen@ntu.edu.tw