A model to predict the risk of mortality in severely ill COVID-19 patients

A model to predict the risk of mortality in severely ill COVID-19 patients

Background: To investigate and select the useful prognostic parameters to develop and validate a model to predict the mortality risk for severely and critically ill patients with the coronavirus disease 2019 (COVID-19). Methods: We established a retrospective cohort of patients with laboratory-confi...

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Bibliographic Details
Main Authors: Bo Chen, Hong-Qiu Gu, Yi Liu (刘艺), Guqin Zhang, Hang Yang, Huifang Hu, Chenyang Lu, Yang Li, Liyi Wang, Yi Liu (刘毅), Yi Zhao, Huaqin Pan
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
COVID-19
Severe
Critical
Risk
Mortality
Predictive model
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037021000842

Internet

http://www.sciencedirect.com/science/article/pii/S2001037021000842

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