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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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Development and validation of a predictive nomogram for the probability of severe COVID-19. (A) A predictive nomogram was developed based on the independent risk factors associated with the severity of COVID-19. (B) The 7-day predictive performance of the nomogram with a slope of 0.95 (R² = 0.89). (C) The 7-day predictive performance of the nomogram with a slope of 0.96 (R² = 0.92).