Selected article for: "CT approach and CT imaging"

Author: Hui Xu; Li Yan; Chun (Martin) Qiu; Bo Jiao; Yanyan Chen; Xi Tan; Zhuo Chen; Ling Ai; Yaru Xiao; Ailin Luo; Shusheng Li
Title: Analysis and Prediction of False Negative Results for SARS-CoV-2 Detection with Pharyngeal Swab Specimen in COVID-19 Patients: A Retrospective Study
  • Document date: 2020_3_30
  • ID: 9edp04ud_10
    Snippet: Through the text mining approach, a number of key phrases from CT imaging reports (in Chinese) were generated. Based on the findings in recent studies (4, 5) , six of which were chosen to be included in the analyses. They were translated as "ground glass opacity (hereafter GGO)", "patchy shadows", "subsolid", "consolidation", "bilateral pulmonary", and "unilateral pulmonary". They were also coded as dummy variables (0 if such a characteristic was.....
    Document: Through the text mining approach, a number of key phrases from CT imaging reports (in Chinese) were generated. Based on the findings in recent studies (4, 5) , six of which were chosen to be included in the analyses. They were translated as "ground glass opacity (hereafter GGO)", "patchy shadows", "subsolid", "consolidation", "bilateral pulmonary", and "unilateral pulmonary". They were also coded as dummy variables (0 if such a characteristic was not detected; and 1 if detected). The text mining task was conducted via an R package called "JiebaR" for text mining in Chinese.

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