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

Medicine and Health

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

F. Corponi, B. M. Li, et al.

This cutting-edge research, conducted by a team including Filippo Corponi and Eduard Vieta, unveils a novel method for monitoring mood disorders by utilizing wearable sensor data to infer HDRS and YMRS scale items, achieving a remarkable agreement with expert assessments.

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