Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning.

Journal: BMC infectious diseases
PMID:

Abstract

BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwide concern. This study aims to investigate the correlation between the extent of lung infection and relevant clinical laboratory testing indicators in COVID-19 and to analyse its underlying mechanism.

Authors

  • Xingrui Wang
    Department of Radiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Shaanxi Province, 710018, Xi'an, China.
  • Qinglin Che
    Department of Radiology, Jingmen No.1 People's Hospital, Jingmen, 448000, Hubei Province, China.
  • Xiaoxiao Ji
    Department of Radiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Shaanxi Province, 710018, Xi'an, China.
  • Xinyi Meng
    Department of Radiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Shaanxi Province, 710018, Xi'an, China.
  • Lang Zhang
    Department of Radiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Shaanxi Province, 710018, Xi'an, China.
  • Rongrong Jia
    Department of Radiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Shaanxi Province, 710018, Xi'an, China.
  • Hairong Lyu
    Department of Radiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Shaanxi Province, 710018, Xi'an, China.
  • Weixian Bai
    Department of Radiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Shaanxi Province, 710018, Xi'an, China.
  • Lingjie Tan
    Department of Radiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Shaanxi Province, 710018, Xi'an, China.
  • Yanjun Gao
    Department of Biomedical Informatics, University of Colorado-Anschutz Medical, Aurora, CO 80045, United States.