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

Qi, Xiaolong; Jiang, Zicheng; Yu, Qian; Shao, Chuxiao; Zhang, Hongguang; Yue, Hongmei; Ma, Baoyi; Wang, Yuancheng; Liu, Chuan; Meng, Xiangpan; Huang, Shan; Wang, Jitao; Xu, Dan; Lei, Junqiang; Xie, Guanghang; Huang, Huihong; Yang, Jie; Ji, Jiansong; Pan, Hongqiu; Zou, Shengqiang; Ju, Shenghong

doi:10.1101/2020.02.29.20029603

Public

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

Published in medRxiv • Mar 3, 2020

Authors:

Xiaolong Qi

Zicheng Jiang

Qian Yu

Abstract

Abstract Objectives To develop and test machine learning-based CT radiomics models for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection. Design Cross-sectional Setting Multicenter Participants A total of 52 patients with laboratory-confirmed SARS-CoV-2 infecti...

Subject

Medicine

Radiomics

Pneumonia

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