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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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| 出版年: | J Diabetes Sci Technol |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SAGE Publications
2017
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| 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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