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_55
Snippet: This method is built on data of suspected patients which presented similar CT information or similar symptoms with COVID-19 like fever, cough, myalgia or fatigue, which are followed the first triage results in hospital before the nucleic acid assay. This tool has been validated many times with good performance on these suspected patients and we have faith on its proper application on further tests to identify COVID-19 cases from other suspected c.....
Document: This method is built on data of suspected patients which presented similar CT information or similar symptoms with COVID-19 like fever, cough, myalgia or fatigue, which are followed the first triage results in hospital before the nucleic acid assay. This tool has been validated many times with good performance on these suspected patients and we have faith on its proper application on further tests to identify COVID-19 cases from other suspected cases.
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