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_22
Snippet: Sample size consideration was shown in supplementary file. In this study, the optimal cut-off value of hospital stay was determined to be 10 days based on previous studies 1-3 , by which patients were classified into short-term hospital stay (≤10 days) and long-term hospital stay (>10 days)......
Document: Sample size consideration was shown in supplementary file. In this study, the optimal cut-off value of hospital stay was determined to be 10 days based on previous studies 1-3 , by which patients were classified into short-term hospital stay (≤10 days) and long-term hospital stay (>10 days).
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