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. 2021 Jun 9;1(2):74–85. doi: 10.1097/ID9.0000000000000010

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Copyright © 2021 The Chinese Medical Association, published by Wolters Kluwer Health, Inc.

This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0

This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

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Discovery of potential metabolite biomarkers for COVID-19. (A) The schematic diagram shows the RF model training and validation workflow. (B) The boxplots show the area under the ROC based on the original and permuted data set in 20 repeated experiments, for the three models that classify controls against patients, mild and moderate against severe, and mild against moderate and severe, respectively. Mann-Whitney U test P values were indicated above the boxplot. The corresponding barplots show the normalized variable importance obtained from the RF models in the repeated experiments for the top 10 metabolites. COVID-19: coronavirus disease 2019; RF: random forest; ROC: receiver operating characteristic.