Predicting the complexity and mortality of polytrauma patients with machine learning models

Abstract We aim to develop machine learning (ML) models for predicting the complexity and mortality of polytrauma patients using clinical features, including physician diagnoses and physiological data. We conducted a retrospective analysis of a cohort comprising 756 polytrauma patients admitted to t...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Meiqi Yu, Shen Wang, Kai He, Fei Teng, Jin Deng, Shuhang Guo, Xiaofeng Yin, Qingguo Lu, Wanjun Gu
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-04-01
Subjects:	Machine learning models Polytrauma mortality Polytrauma complexity
Online Access:	https://doi.org/10.1038/s41598-024-58830-0