Utilizing ultra-early continuous physiologic data to develop automated measures of clinical severity in a traumatic brain injury population

Utilizing ultra-early continuous physiologic data to develop automated measures of clinical severity in a traumatic brain injury population

Abstract Determination of prognosis in the triage process after traumatic brain injury (TBI) is difficult to achieve. Current severity measures like the Trauma and injury severity score (TRISS) and revised trauma score (RTS) rely on additional information from the Glasgow Coma Scale (GCS) and the In...

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Bibliographic Details
Main Authors: Shiming Yang, Peter Hu, Konstantinos Kalpakis, Bradford Burdette, Hegang Chen, Gunjan Parikh, Ryan Felix, Jamie Podell, Neeraj Badjatia
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Traumatic brain injury
Glasgow coma scale
Injury severity score
Mortality
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-57538-5

Internet

https://doi.org/10.1038/s41598-024-57538-5

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