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. 2020 Nov 24;8:574915. doi: 10.3389/fpubh.2020.574915

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Copyright © 2020 Dai, Zeng, Cui, Wang, Feng, Shi, Zhao, Xu, Guo, Yang, Zhao, Li, Zheng, Wang, Wu, Song and Lu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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OPLS-DA to evaluate the influence of parameters on the severity of COVID-19. (A) ROC of OPLS-DA. (B) In the three-dimensional scatter plot of all samples in the OPLS-DA model, the predictive component was used in the stable group and the severe group. (C) Loading plot showing the relationship of each parameter to the predictive component (x) and the first orthogonal component (y); parameters that deviated from zero on the x-axis were considered potentially predictive. (D) The higher predictive VIP (VIP pred) value.