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

Psychology

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.

Discover groundbreaking research by Filippo Corponi and his team as they unveil a revolutionary method for monitoring mood disorders using wearable sensor data and machine learning. This innovative approach not only predicts individual items on HDRS and YMRS scales but also outperforms traditional assessment methods. Dive into the future of mental health monitoring!

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Playback language: English
Citation Metrics
Citations
7
Influential Citations
1
Reference Count
67
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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