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. 2019 Oct 21;9:15029. doi: 10.1038/s41598-019-50886-7

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© The Author(s) 2019

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Decision curves for radiomics nomogram. The y-axis represents the net benefit (The net benefit was calculated by subtracting the proportion of all false-positive patients from the true-positive patient, and the weight is the relative hazard of abandoning treatment versus negative patients). The red dotted line indicates the radiomics nomogram. The black dotted line indicates the radiomics features. The grey solid line indicates the hypothesis that all patients were treated by one scheme (for example, assuming that all patients were with PQ poisoning). The black line represents the hypothesis that all patients were treated by another scheme (For example, assuming that all patients were with pneumonia). Obviously, the radiomics nomogram was better than Rad-score with added net benefit.