Interpretable machine learning for predicting optimal surgical timing in polytrauma patients with TBI and fractures to reduce postoperative infection risk

Xing Han; Jia-Hui Zhang; Xin Zhao; Xi-Guang Sang

doi:10.1038/s41598-025-04003-6

Interpretable machine learning for predicting optimal surgical timing in polytrauma patients with TBI and fractures to reduce postoperative infection risk

X Xing Han (School of Chemistry and Chemical Engineering and State Key Laboratory of Metal Matrix Composites) J Jia-Hui Zhang X Xin Zhao X Xi-Guang Sang

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published May 26, 2025

DOI 10.1038/s41598-025-04003-6

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

X

Xing Han

School of Chemistry and Chemical Engineering and State Key Laboratory of Metal Matrix Composites

J

Jia-Hui Zhang

X

Xin Zhao

X

Xi-Guang Sang

Interpretable machine learning for predicting optimal surgical timing in polytrauma patients with TBI and fractures to reduce postoperative infection risk

Article Details

Journal Info

Authors (4)

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