Generalizability of A Neural Network Model for Circadian Phase Prediction in Real-World Conditions

A neural network model was previously developed to predict melatonin rhythms accurately from blue light and skin temperature recordings in individuals on a fixed sleep schedule. This study aimed to test the generalizability of the model to other sleep schedules, including rotating shift work. Ambula...

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Detalles Bibliográficos
Autores principales: Stone, Julia E., Phillips, Andrew J. K., Ftouni, Suzanne, Magee, Michelle, Howard, Mark, Lockley, Steven W., Sletten, Tracey L., Anderson, Clare, Rajaratnam, Shantha M. W., Postnova, Svetlana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662750/
https://www.ncbi.nlm.nih.gov/pubmed/31358781
http://dx.doi.org/10.1038/s41598-019-47311-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662750/
https://www.ncbi.nlm.nih.gov/pubmed/31358781
http://dx.doi.org/10.1038/s41598-019-47311-4

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