Clinical characteristics and prediction model of re-positive nucleic acid tests among Omicron infections by machine learning: a real-world study of 35,488 cases.

Journal: BMC infectious diseases
Published Date: Dec 18, 2024

Abstract

BACKGROUND: During the Omicron BA.2 variant outbreak in Shanghai, China, from April to May 2022, PCR nucleic acid test re-positivity (TR) occurred frequently, yet the risk factors and predictive models for TR remain unclear. This study aims to identify the factors influencing Omicron TR and to develop machine learning models to predict TR risk. Accurately predicting re-positive patients is crucial for identifying high-risk individuals, optimizing resource allocation, and developing personalized treatment and management plans, thereby effectively controlling the spread of the epidemic, reducing community burden, and ensuring public health.

Authors

  • Ying Cao
  • Tianhua Yao
    Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
  • Ronghao Li
    Department of Basic Medicine, Army Medical University, Chongqing, China.
  • Liang Tan
    Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Military Medical University), Chongqing, China.
  • Zhixiong Zhang
    Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122, USA. zhangzx@umich.edu esyoon@umich.edu.
  • Junsheng Qi
    Department of Critical Care Medicine, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), Chongqing, 400038, China.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
  • Yazhou Wu
    Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. Electronic address: asiawu@tmmu.edu.cn.
  • Zhiqiang Chen
    Department of Engineering Physics, Tsinghua University, Beijing, 100084, China.
  • Changlin Yin
    Department of Critical Care Medicine, The first affiliated hospital(Southwest Hospital), Army Medical University (Third Military Medical University), Chongqing, 400038, China. ycl0315@163.com.

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