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An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning
(1) Background: People living with type 1 diabetes (T1D) require self-management to maintain blood glucose (BG) levels in a therapeutic range through the delivery of exogenous insulin. However, due to the various variability, uncertainty and complex glucose dynamics, optimizing the doses of insulin...
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| Опубликовано в: : | Sensors (Basel) |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7570884/ https://ncbi.nlm.nih.gov/pubmed/32899979 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185058 |
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