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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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書目詳細資料
發表在:J Diabetes Sci Technol
Main Authors: Montaser, Eslam, Díez, José-Luis, Bondia, Jorge
格式: Artigo
語言:Inglês
出版: SAGE Publications 2017
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在線閱讀: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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