Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics

Feng, Zhichao; Yu, Qizhi; Yao, Shanhu; Luo, Lei; Zhou, Wenming; Mao, Xiaowen; Li, Jennifer; Duan, Junhong; Yan, Zhimin; Yang, Min; Tan, Hongpei; Ma, Mengtian; Li, Ting; Yi, Dali; Mi, Ze; Zhao, Huafei; Jiang, Yi; He, Zhenhu; Li, Huiling; Nie, Wei; Liu, Yin; Zhao, Jing; Luo, Muqing; Liu, Xuanhui; Rong, Pengfei; Wang, Wei

doi:10.1038/s41467-020-18786-x

Public

Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics

Published in Nature Communications • Oct 2, 2020

Authors:

Zhichao Feng

Qizhi Yu

Shanhu Yao

Abstract

The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread to become a worldwide emergency. Early identification of patients at risk of progression may facilitate more individually aligned treatment plans and optimized utilization of medical resource. Here we conducted a multicenter retr...

Subject

Coronavirus disease 2019 (COVID-19)

Pneumonia

2019-20 coronavirus outbreak

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