Predicting child and adolescent mental health emergency department revisits: a machine-learning approach compared to a clinician-derived baseline

Authors

Allison Kennedy (ORCID: https://orcid.org/0000-0002-4090-4288)
Judith Gilchrist
Kathleen Pajer (ORCID: https://orcid.org/0000-0002-3699-9966)
Joonsoo Sean Lyeo (ORCID: https://orcid.org/0000-0001-5460-3606)
Paula Cloutier (ORCID: https://orcid.org/0000-0003-3095-1942)
Christina Honeywell
Navjot Kaur Bians

Institutions

University of Ottawa (CA)
Children's Hospital of Eastern Ontario (CA)
Agricultural Research Institute of Ontario (CA)
Ontario Centre of Excellence for Child and Youth Mental Health (CA)
McMaster University (CA)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2025-12-01
DOI: https://doi.org/10.1186/s12911-025-03269-0
Primary Topic: Emergency and Acute Care Studies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Predicting child and adolescent mental health emergency department revisits: a machine-learning approach compared to a clinician-derived baseline

Allison Kennedy, Judith Gilchrist, Kathleen Pajer, Joonsoo Sean Lyeo et al.

Dec 1, 2025

BMC Medical Informatics and Decision Making

Emergency and Acute Care Studies

article

Predicting child and adolescent mental health emergency department revisits: a machine-learning approach compared to a clinician-derived baseline

Allison Kennedy, Judith Gilchrist, Kathleen Pajer, Joonsoo Sean Lyeo, Paula Cloutier, Christina Honeywell, Navjot Kaur Bians

December 1, 2025article en

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision MakingVol. 26(1)

University of Ottawa (CA), Children's Hospital of Eastern Ontario (CA), Agricultural Research Institute of Ontario (CA), Ontario Centre of Excellence for Child and Youth Mental Health (CA), McMaster University (CA)

Openalex Percentile: Top 47%

Emergency and Acute Care Studies

DOI Open Access PDF OpenAlex

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