Predicting mood episodes using wearable devices: A sleep and circadian rhythm data analysis model

The research team led by Chief Investigator Kim Jae Kyoung (IBS Biomedical Mathematics Group, and Professor at KAIST) and Professor Lee Heon-Jeong (Korea University College of Medicine) has developed a novel model that can predict mood episodes in mood disorder patients using only sleep and circadian rhythm data collected from wearable devices.

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