Development and validation of a machine learning-based model to assess probability of systemic inflammatory response syndrome in patients with severe multiple traumas-Reference-Cited by-同舟云学术

Development and validation of a machine learning-based model to assess probability of systemic inflammatory response syndrome in patients with severe multiple traumas

Published:2024-08-27 Issue:1 Volume:24 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Prokazyuk Alexander^ORCID,Tlemissov Aidos^ORCID,Zhanaspayev Marat^ORCID,Aubakirova Sabina^ORCID,Mussabekov Arman^ORCID

Funder

Ministry of Science and Higher Education of the Republic of Kazakhstan

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1186/s12911-024-02640-x.pdf

Reference36 articles.

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4. Pape H-C, Tscherne H. Early definitive fracture fixation with Polytrauma: advantages Versus Systemic/Pulmonary consequences. Multiple organ failure. New York, NY: Springer New York; 2000. pp. 279–90.

5. Pfeifer R, Teuben M, Andruszkow H, et al. Mortality patterns in patients with multiple trauma: a systematic review of autopsy studies. PLoS ONE. 2016;11:1–9. https://doi.org/10.1371/journal.pone.0148844.