Machine learning discovery of distinguishing laboratory features for severity classification of COVID‐19 patients

Machine learning discovery of distinguishing laboratory features for severity classification of COVID‐19 patients

Abstract The exponential spread of COVID‐19 worldwide is evident, with devastating outbreaks primarily in the United States, Spain, Italy, the United Kingdom, France, Germany, Turkey and Russia. As of 1 May 2020, a total of 3,308,386 confirmed cases have been reported worldwide, with an accumulative...

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Bibliographic Details
Main Authors: Yang Xiao, Li Yan, Mingyang Zhang, Kent E. Pinkerton, Haosen Cao, Ying Xiao, Wei Li, Shuai Li, Yancheng Wang, Shusheng Li, Zhiguo Cao, Gary Wing‐Kin Wong, Hui Xu, Hai‐Tao Zhang
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:IET Cyber-systems and Robotics
Subjects:
artificial intelligence
diseases
learning (artificial intelligence)
medical diagnostic computing
neural nets
patient care
Online Access:https://doi.org/10.1049/csy2.12005

Internet

https://doi.org/10.1049/csy2.12005

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