Machine learning outperforms the Canadian Triage and Acuity Scale (CTAS) in predicting need for early critical care
This study investigates the potential to improve emergency department (ED) triage using machine learning models by comparing their predictive performance with the Canadian Triage Acuity Scale (CTAS) in identifying the need for critical care within 12 h of ED arrival. Three machine learning models (L...
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Veröffentlicht in: | Canadian journal of emergency medicine 2024-11 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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