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. 2021 Aug 25;11:17169. doi: 10.1038/s41598-021-96727-4

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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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Feature ranking analysis of the extreme gradient boosting machine model in predicting a reduction in mean arterial pressure (MAP) ≥ 20 mmHg (A, C) and ≥ 30 mmHg (B, D) within 6 h (A, B) and 1 h (C, D). MAP mean arterial pressure, SBP systolic blood pressure, DBP diastolic blood pressure, PT-INR prothrombin time-international normalized ratio, PaCO₂ arterial partial pressure of carbon dioxide, Hb hemoglobin, BFR blood flow rate, WBC white blood cell.