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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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書誌詳細
出版年:J Diabetes Sci Technol
主要な著者: Montaser, Eslam, Díez, José-Luis, Bondia, Jorge
フォーマット: Artigo
言語:Inglês
出版事項: SAGE Publications 2017
主題:
オンライン・アクセス: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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