2024
DOI: 10.1111/inm.13402
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Machine Learning Model Reveals Determinators for Admission to Acute Mental Health Wards From Emergency Department Presentations

Oliver Higgins,
Stephan K. Chalup,
Rhonda L. Wilson

Abstract: This research addresses the critical issue of identifying factors contributing to admissions to acute mental health (MH) wards for individuals presenting to the emergency department (ED) with MH concerns as their primary issue, notably suicidality. This study aims to leverage machine learning (ML) models to assess the likelihood of admission to acute MH wards for this vulnerable population. Data collection for this study used existing ED data from 1 January 2016 to 31 December 2021. Data selection was based on… Show more

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