Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score
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 remains un...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
BioMed Central
2025
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