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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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| Publicado no: | Sci Rep |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6662750/ https://ncbi.nlm.nih.gov/pubmed/31358781 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-47311-4 |
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