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Stochastic Seasonal Models for Glucose Prediction in the Artificial Pancreas
BACKGROUND: Linear empirical dynamic models have been widely used for glucose prediction. The extension of the concept of seasonality, characteristic of other domains, is explored here for the improvement of prediction accuracy. METHODS: Twenty time series of 8-hour postprandial periods (PP) for a s...
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| Publicado no: | J Diabetes Sci Technol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5951060/ https://ncbi.nlm.nih.gov/pubmed/29039207 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1932296817736074 |
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