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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Detalles Bibliográficos
Autores principales: Zhu, Taiyu, Li, Kezhi, Kuang, Lei, Herrero, Pau, Georgiou, Pantelis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570884/
https://www.ncbi.nlm.nih.gov/pubmed/32899979
http://dx.doi.org/10.3390/s20185058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570884/
https://www.ncbi.nlm.nih.gov/pubmed/32899979
http://dx.doi.org/10.3390/s20185058

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