Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.

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Bibliographic Details
Title: Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.
Authors: Rana R; School of Mathematics, Physics and Computing, Springfield Campus, University of Southern Queensland, Springfield Education City, QLD 4300, Australia., Higgins N; School of Mathematics, Physics and Computing, Springfield Campus, University of Southern Queensland, Springfield Education City, QLD 4300, Australia.; Mental Health and Specialist Services, West Moreton Health, Brisbane, QLD 4076, Australia., Haque KN; School of Mathematics, Physics and Computing, Springfield Campus, University of Southern Queensland, Springfield Education City, QLD 4300, Australia.; Metro North Mental Health, Metro North Health, Brisbane, QLD 4029, Australia., Burke K; Metro North Mental Health, Metro North Health, Brisbane, QLD 4029, Australia.; School of Psychology, The University of Queensland, Brisbane, QLD 4072, Australia.; Australian Research Council's Centre of Excellence for Children and Families over the Life Course, Brisbane, QLD 4068, Australia., Turner K; Metro North Mental Health, Metro North Health, Brisbane, QLD 4029, Australia., Stedman T; Mental Health and Specialist Services, West Moreton Health, Brisbane, QLD 4076, Australia.
Source: Nursing reports (Pavia, Italy) [Nurs Rep] 2024 Dec 20; Vol. 14 (4), pp. 4162-4172. Date of Electronic Publication: 2024 Dec 20.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101592662 Publication Model: Electronic Cited Medium: Internet ISSN: 2039-4403 (Electronic) Linking ISSN: 2039439X NLM ISO Abbreviation: Nurs Rep Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2039-4403
DOI:10.3390/nursrep14040303