Digital phenotyping using wearable-determined physical behaviours and machine learning to detect depression and anxiety symptoms in a general population.

Abstract excerpt

BACKGROUND: Depression and anxiety are widespread mental health disorders, yet their diagnosis remains challenging. Digital phenotyping provides a promising approach for detecting depression and anxiety. This study aims to explore the extent to which physical behaviour metrics can be used as digital phenotypes for identifying individuals with and without depression and anxiety symptoms using machine learning (ML)...

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