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Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study

Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study

Doryab et al [1] demonstrated modeling of rhythms using data from Fitbit devices in patients with cancer and showed that disruption in circadian rhythms predicts readmission in patients with cancer undergoing treatment. Yan et al [7] further developed a computational framework for modeling biobehavioral rhythms from multimodal sensor streams.

Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, Sheldon Cohen, John D Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab

JMIR AI 2024;3:e47194