Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study

Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study

Abstract Background To develop and validate a nomogram for early identification of severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics. Methods The initial clinical and CT imaging data of 217 patients with COVID-19 were analyzed retrospectively from January to...

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Bibliographic Details
Main Authors: Yixing Yu, Ximing Wang, Min Li, Lan Gu, Zongyu Xie, Wenhao Gu, Feng Xu, Yaxing Bao, Rongrong Liu, Su Hu, Mengjie Hu, Chunhong Hu
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Medical Imaging
Subjects:
COVID-19
Pneumonia
Tomography
X-ray computed
Nomogram
Online Access:http://link.springer.com/article/10.1186/s12880-020-00513-z

Internet

http://link.springer.com/article/10.1186/s12880-020-00513-z

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