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
fDate :
Aug. 30 2006-Sept. 3 2006
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260685