Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score

Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score

Abstract Background Traumatic injuries are a leading cause of morbidity and mortality globally, with a disproportionate impact on populations in low- and middle-income countries (LMICs). The Kampala Trauma Score (KTS) is frequently used for triage in these settings, though its predictive accuracy re...

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Bibliographic Details
Main Authors: Mike Nsubuga, Timothy Mwanje Kintu, Helen Please, Kelsey Stewart, Sergio M. Navarro
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Emergency Medicine
Subjects:
Machine learning
Ai
Trauma
Triage systems
Emergency care
Online Access:https://doi.org/10.1186/s12873-025-01175-2
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https://doi.org/10.1186/s12873-025-01175-2

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