Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning
Background: Optimum efficiency and responsiveness to callers of mental health helplines can only be achieved if call priority is accurately identified. Currently, call operators making a triage assessment rely heavily on their clinical judgment and experience. Due to the significant morbidity and mo...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
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| Series: | Nursing Reports |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2039-4403/14/4/303 |
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