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Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems
BACKGROUND: Despite the recent advancements in the modeling of glycemic dynamics for type 1 diabetes mellitus, automatically considering unannounced meals and exercise without manual user inputs remains challenging. METHOD: An adaptive model identification technique that incorporates exercise inform...
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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
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6134614/ https://ncbi.nlm.nih.gov/pubmed/30060699 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1932296818789951 |
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