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

Abstract Background Predicting child and youth mental health (CYMH) emergency department (ED) revisits (RVs) is critical for improving patient outcomes and optimizing use of resources. Previous CYMH ED RV studies have used statistical methods with research cohorts and produced varying results. Our a...

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Автори:	Navjot Kaur Bians, Joonsoo Sean Lyeo, Jeff Gilchrist, Christina Honeywell, Paula Cloutier, Allison Kennedy, Kathleen Pajer
Формат:	Artigo
Мова:	Inglês
Опубліковано:	BMC 2025-12-01
Серія:	BMC Medical Informatics and Decision Making
Предмети:	Emergency department revisits Machine learning Mental health Precision health Precision mental health Children
Онлайн доступ:	https://doi.org/10.1186/s12911-025-03269-0
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