Selected article for: "dataset test and independent dataset test"

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_59
    Snippet: In the multicenter study with patients from 5 designated hospitals in China, the CT radiomics models using logistic regression and random forest method showed satisfied diagnostic performance with sensitivity of 1.0 and 0.75, specificity of 0.89 and 1.0, respectively, in independent test dataset......
    Document: In the multicenter study with patients from 5 designated hospitals in China, the CT radiomics models using logistic regression and random forest method showed satisfied diagnostic performance with sensitivity of 1.0 and 0.75, specificity of 0.89 and 1.0, respectively, in independent test dataset.

    Search related documents:
    Co phrase search for related documents
    • diagnostic performance and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • diagnostic performance and multicenter study: 1, 2, 3, 4, 5, 6, 7, 8
    • diagnostic performance and radiomic model: 1
    • diagnostic performance and respectively specificity: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • diagnostic performance and sensitivity diagnostic performance: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • diagnostic performance and test dataset: 1, 2, 3, 4
    • forest method and logistic regression: 1, 2, 3
    • forest method and multicenter study: 1
    • forest method and random forest method: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • forest method and respectively specificity: 1
    • independent test dataset and respectively specificity: 1
    • independent test dataset and test dataset: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19
    • logistic regression and multicenter study: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • logistic regression and radiomic model: 1, 2, 3, 4
    • logistic regression and random forest method: 1, 2, 3
    • logistic regression and random forest method logistic regression: 1
    • logistic regression and respectively specificity: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • logistic regression and sensitivity diagnostic performance: 1, 2
    • logistic regression and test dataset: 1, 2, 3, 4, 5, 6, 7, 8