Automated mood disorder symptoms monitoring from multivariate time-series sensory data: getting the full picture beyond a single number

Automated mood disorder symptoms monitoring from multivariate time-series sensory data: getting the full picture beyond a single number

Abstract Mood disorders (MDs) are among the leading causes of disease burden worldwide. Limited specialized care availability remains a major bottleneck thus hindering pre-emptive interventions. MDs manifest with changes in mood, sleep, and motor activity, observable in ecological physiological reco...

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Bibliographic Details
Main Authors: Filippo Corponi, Bryan M. Li, Gerard Anmella, Ariadna Mas, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Marina Garriga, Eduard Vieta, Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo-Mazzei, Antonio Vergari
Format: Article
Language:English
Published: Nature Publishing Group 2024-03-01
Series:Translational Psychiatry
Online Access:https://doi.org/10.1038/s41398-024-02876-1

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https://doi.org/10.1038/s41398-024-02876-1

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