Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning
The priority level provides an estimate of voice quality in terms of positive or negative demeanor that can be simultaneously displayed using a web interface on a computer or smartphone.
Authors
- Kathryn Turner (ORCID: https://orcid.org/0000-0002-8828-5260)
- Kylie Burke (ORCID: https://orcid.org/0000-0003-4246-0120)
- Niall Higgins (ORCID: https://orcid.org/0000-0002-3260-1711)
- Rajib Rana (ORCID: https://orcid.org/0000-0002-0506-2409)
- Terry Stedman (ORCID: https://orcid.org/0000-0003-0064-6197)
- Kazi Nazmul Haque (ORCID: https://orcid.org/0000-0001-8882-5194)
Institutions
- Australian Research Council (AU)
- The University of Queensland (AU)
- University of Southern Queensland (AU)
- Metro South Health (AU)
- ARC Centre of Excellence for Children and Families over the Life Course (AU)
Publication Details
- Journal
- Nursing Reports
- Published
- 2024-12-20
- DOI
- https://doi.org/10.3390/nursrep14040303
- Citations
- 3
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.07