DocumentCode
1997575
Title
Markov modelling and adaptive control in management of type 1 diabetes mellitus
Author
Santoso, Lucia ; Mareels, Iven M Y
Volume
2
fYear
2001
fDate
2001
Firstpage
2068
Abstract
We present management of diabetes mellitus as a constrained control problem, with very sparse sampling, where no information on dynamics are available. This, problem has been approached through modelling of the system as a Markov decision process, and through direct derivation of control rules. Considering the complexity of the system constraints imposed by lack of information, we argue that non-model based control is the best and simplest method for this problem.
Keywords
Markov processes; adaptive control; biocontrol; decision theory; diseases; dynamic programming; physiological models; 60 to 90 day; Markov decision process; adaptive control; blood glucose concentration; constrained control problem; type 1 diabetes mellitus management; very sparse sampling; Adaptive control; Biochemistry; Control systems; Diabetes; Engineering management; Fluids and secretions; Insulin; Pancreas; Sampling methods; Sugar;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1020641
Filename
1020641
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