Data-driven discovery of a clinical route for severity detection of COVID-19 paediatric cases

Data-driven discovery of a clinical route for severity detection of COVID-19 paediatric cases

In this retrospective COVID-19 study on 105 infected children admitted to Wuhan Children's Hospital, we have revealed two biomarkers (DBIL and ALT) to promptly screen out the severe ones from all the cases with the assistance of a proposed supervised decision-tree classifier. This clinical rout...

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Bibliographic Details
Main Authors: Hui Yu, Yuqi Guo, Yun Xiang, Chuan Sun, Tao Yang
Format: Article
Language:English
Published: Wiley 2020-11-01
Series:IET Cyber-systems and Robotics
Subjects:
epidemics
diseases
data-driven discovery
clinical route
severity detection
covid-19 paediatric cases
covid-19 epidemic
infected pediatric cases
children patients
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-csr.2020.0037

Internet

https://digital-library.theiet.org/content/journals/10.1049/iet-csr.2020.0037

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