Author: Lijiao Zeng; Jialu Li; Mingfeng Liao; Rui Hua; Pilai Huang; Mingxia Zhang; Youlong Zhang; Qinlang Shi; Zhaohua Xia; Xinzhong Ning; Dandan Liu; Jiu Mo; Ziyuan Zhou; Zigang Li; Yu Fu; Yuhui Liao; Jing Yuan; Lifei Wang; Qing He; Lei Liu; Kun Qiao
Title: Risk assessment of progression to severe conditions for patients with COVID-19 pneumonia: a single-center retrospective study Document date: 2020_3_30
ID: 8n3q30hy_22
Snippet: To personalize the time-dependent risk assessment of severe progression, we incorporated CT image data with baseline information for the risk modeling ( Figure 3) . A total of 348 quantitative features were extracted from 3D re-constructed chest CT scan images generated upon admission......
Document: To personalize the time-dependent risk assessment of severe progression, we incorporated CT image data with baseline information for the risk modeling ( Figure 3) . A total of 348 quantitative features were extracted from 3D re-constructed chest CT scan images generated upon admission.
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