Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury

Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury

Abstract Background Rapid referral of traumatic brain injury (TBI) patients requiring emergency neurosurgery to a specialized trauma center can significantly reduce morbidity and mortality. Currently, no model has been reported to predict the need for acute neurosurgery in severe to moderate TBI pat...

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Bibliographic Details
Main Authors: Jean-Denis Moyer, Patrick Lee, Charles Bernard, Lois Henry, Elodie Lang, Fabrice Cook, Fanny Planquart, Mathieu Boutonnet, Anatole Harrois, Tobias Gauss, The Traumabase Group®
Format: Article
Language:English
Published: BMC 2022-08-01
Series:World Journal of Emergency Surgery
Subjects:
Traumatic brain injury
Trauma
Emergency neurosurgery
Prediction models
Artificial intelligence
Online Access:https://doi.org/10.1186/s13017-022-00449-5

Internet

https://doi.org/10.1186/s13017-022-00449-5

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