Author: Cong-Ying Song; Jia Xu; Jian-Qin He; Yuan-Qiang Lu
Title: COVID-19 early warning score: a multi-parameter screening tool to identify highly suspected patients Document date: 2020_3_8
ID: fcvstps9_4
Snippet: Our study selected the clinical data of patients who came to our hospital during the first phase of the epidemic (by February 5 th , 2020, most of the confirmed patients were from Wuhan or had a clear history of close contact with the returning population from Wuhan) as the training dataset. By comparing the characteristics of the confirmed cases and excluding cases, the independent risk factors related to the disease were identified and included.....
Document: Our study selected the clinical data of patients who came to our hospital during the first phase of the epidemic (by February 5 th , 2020, most of the confirmed patients were from Wuhan or had a clear history of close contact with the returning population from Wuhan) as the training dataset. By comparing the characteristics of the confirmed cases and excluding cases, the independent risk factors related to the disease were identified and included in the diagnostic model. The purpose of establishing a multifaceted diagnostic All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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