A KNN-based model for non-invasive prediction of hemorrhagic shock severity in prehospital settings: integrating MAP, PBUCO2, PTCO2, and PPV

Abstract Background Rapid prehospital assessment of hemorrhagic shock severity is critical for trauma triage and intervention. Current non-invasive single-parameter monitoring shows limited diagnostic reliability. We developed a multi-parameter predictive model integrating mean arterial pressure (MA...

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Bibliographic Details
Main Authors:	Peng Zhao, Wencai Pan, Xin Zou, Jiaqing Yang, Shihui Zhang, Yufei Liu, Yang Li
Format:	Article
Language:	English
Published:	BMC 2025-05-01
Series:	BioMedical Engineering OnLine
Subjects:	K-nearest neighbor algorithm Hemorrhagic shock Multi-parameter Prediction model
Online Access:	https://doi.org/10.1186/s12938-025-01394-5
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A KNN-based model for non-invasive prediction of hemorrhagic shock severity in prehospital settings: integrating MAP, PBUCO2, PTCO2, and PPV

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