Improving triage performance in emergency departments using machine learning and natural language processing: a systematic review
Abstract Background In Emergency Departments (EDs), triage is crucial for determining patient severity and prioritizing care, typically using the Manchester Triage Scale (MTS). Traditional triage systems, reliant on human judgment, are prone to under-triage and over-triage, resulting in variability,...
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| Main Author: | Bruno Matos Porto |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-11-01
|
| Series: | BMC Emergency Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12873-024-01135-2 |
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