Real-time monitoring to predict depressive symptoms: study protocol

IntroductionAccording to the World Health Organization, Depression is the fourth leading cause of global disease burden. However, traditional clinical and self-report assessments of depression have limitations in providing timely diagnosis and intervention. Recently, digital phenotyping studies have...

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Bibliografski detalji

Glavni autori:	Yu-Rim Lee, Jong-Sun Lee
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2025-03-01
Serija:	Frontiers in Psychiatry
Teme:	digital phenotyping depressive disorder ecological momentary assessment wearable device multilevel modeling machine learning
Online pristup:	https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1465933/full
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