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Aug 2026

Decoding Mental Health Through Wearable Signals Using Machine Learning Approaches

Mental health conditions are widespread, yet scalable assessment remains limited, as clinical interviews are time-intensive and self-report screeners are episodic and prone to bias, motivating passive, data-driven approaches. This study investigates whether short-term physical activity patterns captured by consumer wea...

Guan-Nan Liu, Jae Yoo, Gao-Jian Huang et al. · 0 citations

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