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. 2022 Jan 25;27:13. doi: 10.1186/s40001-022-00634-x

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Nomogram for estimating the probability of severe type COVID-19. The radiomics nomogram was drawn with two clinical features (comorbidity and WBC: abnormal WBC counts) and radiomics score in the primary cohort. The point of each variable can be found based on the points’ uppermost scale, and the total points are the sum of points of each variable. The total points correspond to the bottom scale indicate the probability of severe COVID-19. For example, when total points are less than 17, the risk probability of severe COVID-19 is lower than 5%, and if the total points are higher than 37, the risk probability is greater than 95%