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Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

View PDF HTML (experimental) Abstract:Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly used for such predictions, they have been primarily applied to low-level sensor data, despite behavioral data often being more informative due to their alignment with physiologically relevant timescales and quantities. We develop foundation models of such behavioral signals using over 2.5B hours of wearable data from 162K...

Read more at arxiv.org

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