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Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study
BACKGROUND: Virtually, all organisms on Earth have their own circadian rhythm, and humans are no exception. Circadian rhythms are associated with various human states, especially mood disorders, and disturbance of the circadian rhythm is known to be very closely related. Attempts have also been made...
Autores principales: | Cho, Chul-Hyun, Lee, Taek, Kim, Min-Gwan, In, Hoh Peter, Kim, Leen, Lee, Heon-Jeong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492069/ https://www.ncbi.nlm.nih.gov/pubmed/30994461 http://dx.doi.org/10.2196/11029 |
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