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Passive Screening for Depressive Symptoms Using Daily Wrist Actigraphy and Deep Learning: Model Development and Validation Study

Abstract BackgroundDepressive symptoms are common yet often underrecognized in routine care, underscoring the need for scalable screening approaches beyond episodic self-report assessments. Wearable actigraphy can passively and continuously capture daily activity and 24-hour r...

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Bibliografiske detaljer
Principais autores: Doljinsuren Enkhbayar, Somin Oh, Jinhee Lee, Min-Hyuk Kim, Erdenebayar Urtnasan, Jaehong Key
Format: Artigo
Sprog:Inglês
Udgivet: JMIR Publications 2026-07-01
Serier:JMIR mHealth and uHealth
Online adgang:https://mhealth.jmir.org/2026/1/e91479
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