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. 2024 May 13;14:10902. doi: 10.1038/s41598-024-61685-0

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© The Author(s) 2024

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) The best multivariate CPH c-index for each number of combinations trained with the entire dataset. (b) Comparison of the performance of DeepSurv, RSF, and CPH model in terms of survival probability calculated for an example patient. The dashed line represents the actual event time. (c) Comparing the statistics of the c-index for the train set as a function of the number of model features evidencing the median, first and third quartiles, and upper and lower bounds. (d) Same as the previous case but considering the test set.