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

X, Qi; Z, Jiang; Q, Yu; C, Shao; H, Zhang; H, Yue; B, Ma; Y, Wang; C, Liu; X, Meng; S, Huang; J, Wang; D, Xu; J, Lei; G, Xie; H, Huang; J, Yang; J, Ji; H, Pan; S, Zou; S, Ju

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

Shared by NobleBlocks on Mar 3, 2020 • 12:00 AM UTC

Authors:

Qi X

Jiang Z

Yu Q

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 infection and th...

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