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- Title
Addendum: Early triage of critically ill COVID-19 patients using deep learning.
- Authors
Liang, Wenhua; Yao, Jianhua; Chen, Ailan; Lv, Qingquan; Zanin, Mark; Liu, Jun; Wong, SookSan; Li, Yimin; Lu, Jiatao; Liang, Hengrui; Chen, Guoqiang; Guo, Haiyan; Guo, Jun; Zhou, Rong; Ou, Limin; Zhou, Niyun; Chen, Hanbo; Yang, Fan; Han, Xiao; Huan, Wenjing
- Abstract
Thus, in our article, we established the deep-learning model to predict critical illness or death at different time points (i.e. 5 days, 10 days, 30 days etc.). Collectively, we suggest that users can preferably use the deep-learning model whenever possible, to predict whether a patient will develop critical illness or death at different time points.
- Subjects
COVID-19; CRITICALLY ill; DEEP learning
- Publication
Nature Communications, 2021, Vol 12, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-021-21044-3