Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study

摘要

Department of Radiology, Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School, Southeast University, Nanjing, China;CHESS-COVID-19 center, The First Hospital of Lanzhou University, Lanzhou, China;Department of Radiology, Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School, Southeast University, Nanjing, China;Department of Radiology, Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School, Southeast University, Nanjing, China;CHESS-COVID-19 center, The First Hospital of Lanzhou University, Lanzhou, China;CHESS-COVID-19 center, The First Hospital of Lanzhou University, Lanzhou, China;CHESS-COVID-19 center, The First Hospital of Lanzhou University, Lanzhou, China;CHESS-COVID-19 center, The First Hospital of Lanzhou University, Lanzhou, China;CHESS-COVID-19 center, Ankang Central Hospital, Ankang, China;CHESS-COVID-19 center, Zhejiang University Lishui Hospital & Lishui Central Hospital, Lishui, China;CHESS-COVID-19 center, Zhejiang University Lishui Hospital & Lishui Central Hospital, Lishui, China;Department of Infectious Diseases and Critical Care Medicine, The Affiliated Third Hospital of Jiangsu University, Zhenjiang, China;Department of Infectious Diseases and Critical Care Medicine, The Affiliated Third Hospital of Jiangsu University, Zhenjiang, China;Department of Radiology, Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School, Southeast University, Nanjing, China;