Machine learning discovery of distinguishing laboratory features for severity classification of COVID‐19 patients-Reference-Cited by-同舟云学术

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

Published:2021-03 Issue:1 Volume:3 Page:31-43
ISSN:2631-6315
Container-title:IET Cyber-Systems and Robotics
language:en
Short-container-title:IET cyber-systems robotics

Author:

Xiao Yang¹,Yan Li²,Zhang Mingyang¹,Pinkerton Kent E.³,Cao Haosen¹,Xiao Ying¹,Li Wei⁴,Li Shuai¹,Wang Yancheng¹,Li Shusheng²,Cao Zhiguo¹,Wong Gary Wing‐Kin⁵,Xu Hui⁶,Zhang Hai‐Tao¹^ORCID

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology Wuhan China

2. Department of Emergency Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology Wuhan China

3. Department of Pediatrics, School of Medicine Department of Anatomy, Physiology and Cell Biology School of Medicine School of Veterinary Medicine, University of California Davis CA USA

4. Biomedical Engineering Institute, School of Control Science and Engineering, Shandong University Jinan China

5. Department of Paediatrics The Chinese University of Hong Kong Hong Kong China

6. Department of Anesthesiology Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology Wuhan China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/csy2.12005

Reference29 articles.

1. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

2. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

3. Clinical Characteristics of Coronavirus Disease 2019 in China

4. Estimating clinical severity of covid‐19 from the transmission dynamics in Wuhan, China;Wu J.T.;Nat. Methods,2020

5. Data‐driven discovery of clinical routes for severity detection in covid‐19 paediatric cases;Yu H.;medRxiv,2020

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