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

Reviews in Medical Informatics (82) Digital Health Reviews (1174) Computer-Aided Diagnosis (94) Machine Learning (1370) Methods and Instruments in Medical Informatics (101) New Technologies (64)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28781, first published .
State of the Art of Machine Learning–Enabled Clinical Decision Support in Intensive Care Units: Literature Review

State of the Art of Machine Learning–Enabled Clinical Decision Support in Intensive Care Units: Literature Review

State of the Art of Machine Learning–Enabled Clinical Decision Support in Intensive Care Units: Literature Review

Authors of this article:

Na Hong1 Author Orcid Image ;   Chun Liu1 Author Orcid Image ;   Jianwei Gao1 Author Orcid Image ;   Lin Han1 Author Orcid Image ;   Fengxiang Chang1 Author Orcid Image ;   Mengchun Gong1 Author Orcid Image ;   Longxiang Su2 Author Orcid Image
Article Authors Cited by (25) Tweetations (11) Metrics

Na Hong   1 , PhD ;   Chun Liu   1 , PhD ;   Jianwei Gao   1 , PhD ;   Lin Han   1 , MSc, MD ;   Fengxiang Chang   1 , PhD ;   Mengchun Gong   1 , MD, PhD ;   Longxiang Su   2 , MD, PhD

1 Digital Health China Technologies Ltd Co, Beijing, China

2 Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China

Corresponding Author:

  • Longxiang Su, MD, PhD
  • Department of Critical Care Medicine
  • State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital
  • Chinese Academy of Medical Science and Peking Union Medical College
  • No.1 Shuaifuyuan Wangfujing Dongcheng District
  • Beijing
  • China
  • Phone: 86 10 69152308
  • Email: sulongxiang@vip.163.com