G2P2C — A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes

Developing diagnostic and treatment solutions for medical applications is often challenging due to the complex dynamics, partial observability, high inter- and intra-population variability, and the presence of unknown delays and disturbances. A characteristic case is the control of glucose concentra...

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Vydané v:	Biomedical signal processing and control Ročník 90; s. 105839
Hlavní autori:	Hettiarachchi, Chirath, Malagutti, Nicolo, Nolan, Christopher J., Suominen, Hanna, Daskalaki, Elena
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2024
Predmet:	Algorithms Control systems Diabetes mellitus, Type 1 Insulin infusion systems Pancreas, artificial Reinforcement learning Control systems Diabetes mellitus, Type 1 Algorithms Pancreas, artificial Insulin infusion systems Reinforcement learning
ISSN:	1746-8094, 1746-8108
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