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. 2021 Feb 22;11:4287. doi: 10.1038/s41598-020-80785-1

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© The Author(s) 2021

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 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/.

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(A) List of variable importance compared to stepwise added background noise. Values greater than 0 indicate greater importance for a variable than the added background noise. (B) List of variables according to the mean value at which the variable has a division base in the random forest survival tree. A lower value indicates greater importance. (C) Variable selection based on the random survival forest method. Comparison of the value of importance (VIMP) score and minimal depth score. Dashed lines show the selected thresholds for the minimal depth (6.74) and VIMP (0.0025; mean value). Variables in the lower-left quadrant carry some importance in the random forest survival model. The most important parameters lie closest to the origin.