Author: Xiaolong Qi; Zicheng Jiang; QIAN YU; Chuxiao Shao; Hongguang Zhang; Hongmei Yue; Baoyi Ma; Yuancheng Wang; Chuan Liu; Xiangpan Meng; Shan Huang; Jitao Wang; Dan Xu; Junqiang Lei; Guanghang Xie; Huihong Huang; Jie Yang; Jiansong Ji; Hongqiu Pan; Shengqiang Zou; Shenghong Ju
Title: Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study Document date: 2020_3_3
ID: 2s4ifz7i_21
Snippet: The multicenter study was conducted according to principles of the Declaration of Helsinki and approved by all institutional review board. The need for written informed consent from the participants was waived. Patients with laboratory-confirmed SARS-CoV-2 infection and their initial CT images were enrolled from 5 designated hospitals between January 23, 2020 and February 8, 2020, with final follow-up on February 20, 2020 (Figure 1 ). Most patien.....
Document: The multicenter study was conducted according to principles of the Declaration of Helsinki and approved by all institutional review board. The need for written informed consent from the participants was waived. Patients with laboratory-confirmed SARS-CoV-2 infection and their initial CT images were enrolled from 5 designated hospitals between January 23, 2020 and February 8, 2020, with final follow-up on February 20, 2020 (Figure 1 ). Most patients received antiviral treatment with interferon inhalation, lopinavir and ritonavir, combined with probiotics. Patients were discharged once the results of two real-time fluorescence polymerase-chain-reaction tests taken 24 hours apart were negative for SARS-CoV-2 antigens. Patients without pneumonia findings or those remained in hospital were excluded.
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