DocumentCode
472109
Title
Model Predictive Control with Reinforcement Learning for Drug Delivery in Renal Anemia Management
Author
Gaweda, Adam E. ; Muezzinoglu, Mehmet K. ; Jacobs, Alfred A. ; Aronoff, George R. ; Brier, Michael E.
Author_Institution
Dept. of Medicine, Louisville Univ., KY
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
5177
Lastpage
5180
Abstract
Treatment of chronic conditions often creates the challenge of an adequate drug administration. The intra- and inter-individual variability of drug response requires periodic adjustments of the dosing protocols. We describe a method, combining model predictive control for simulation of patient response and reinforcement learning for estimation of dosing strategy, to facilitate the management of anemia due to kidney failure
Keywords
decision support systems; drug delivery systems; intelligent control; kidney; learning (artificial intelligence); medical computing; medical control systems; predictive control; chronic conditions; decision support system; dosing protocols; drug administration; drug delivery; inter-individual variability; intra-individual variability; kidney failure; model predictive control; reinforcement learning; renal anemia management; Cardiac disease; Cities and towns; Drug delivery; Humans; Jacobian matrices; Learning; Medical treatment; Predictive control; Predictive models; Protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.260685
Filename
4462970
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