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This paper is in the following e-collection/theme issue:

Precision Medicine (199) mHealth for Data Collection and Research (1302) Depression and Mood Disorders; Suicide Prevention (1809) Sleep Monitoring, Sleep Quality, Sleep Disorders (292) Digital Biomarkers and Digital Phenotyping (344)

Published on in Vol 28 (2026)

This is a member publication of King's College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86900, first published .
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Sleep and Activity Patterns in Depression From Wearable Data: Unsupervised Clustering Study

Sleep and Activity Patterns in Depression From Wearable Data: Unsupervised Clustering Study

Authors of this article:

Carolin Oetzmann1 Author Orcid Image ;   Yuezhou Zhang2 Author Orcid Image ;   Nicholas Cummins2 Author Orcid Image ;   Ewan Carr2 Author Orcid Image ;   Faith Matcham3 Author Orcid Image ;   Sara Siddi4, 5 Author Orcid Image ;   Femke Lamers6, 7 Author Orcid Image ;   Daniel Leightley8 Author Orcid Image ;   Katie M White1 Author Orcid Image ;   Amos A Folarin2 Author Orcid Image ;   Peter Annas9 Author Orcid Image ;   Josep Maria Haro4, 5 Author Orcid Image ;   Brenda WJH Penninx6, 7 Author Orcid Image ;   Srinivasan Vairavan10 Author Orcid Image ;   Til Wykes11, 12 Author Orcid Image ;   Richard JB Dobson2 Author Orcid Image ;   Vaibhav A Narayan13 Author Orcid Image ;   Matthew Hotopf1, 12 Author Orcid Image
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