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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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
JMIR Publications
2026-07-01
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| Seria: | JMIR mHealth and uHealth |
| Dostęp online: | https://mhealth.jmir.org/2026/1/e91479 |
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