Selected article for: "cc international license and high level"
Author: Jiangpeng Wu; Pengyi Zhang; Liting Zhang; Wenbo Meng; Junfeng Li; Chongxiang Tong; Yonghong Li; Jing Cai; Zengwei Yang; Jinhong Zhu; Meie Zhao; Huirong Huang; Xiaodong Xie; Shuyan Li
Title: Rapid and accurate identification of COVID-19 infection through machine learning based on clinical available blood test results
  • Document date: 2020_4_6
    • ID: kjovtgua_31
    Snippet: Only the integration of 11 laboratory parameters could achieve high-level performance to accurately identify COVID-19. The reason was not only the powerful ability of machine learning algorithm in medicine, but also the inextricable connection between the selected parameters and the epidemic pneumonia. Once the virus invaded the body, the composition of the blood would change. The abnormalities sometimes cannot be observed directly from these rou.....
    Document: Only the integration of 11 laboratory parameters could achieve high-level performance to accurately identify COVID-19. The reason was not only the powerful ability of machine learning algorithm in medicine, but also the inextricable connection between the selected parameters and the epidemic pneumonia. Once the virus invaded the body, the composition of the blood would change. The abnormalities sometimes cannot be observed directly from these routine laboratory blood tests, but the . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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