Using digital phenotyping to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively collected wearable movement and sleep data

Using digital phenotyping to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively collected wearable movement and sleep data

Abstract Major Depressive Disorder (MDD) presents considerable challenges to diagnosis and management due to symptom variability across time. Only recent work has highlighted the clinical implications for interrogating depression symptom variability. Thus, the present work investigates how sociodemo...

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Bibliographic Details
Main Authors: George D. Price, Michael V. Heinz, Seo Ho Song, Matthew D. Nemesure, Nicholas C. Jacobson
Format: Article
Language:English
Published: Nature Publishing Group 2023-12-01
Series:Translational Psychiatry
Online Access:https://doi.org/10.1038/s41398-023-02669-y

Internet

https://doi.org/10.1038/s41398-023-02669-y

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