DocumentCode :
722681
Title :
Individualized anemia management using a radial basis function method
Author :
Mirinejad, Hossein ; Inanc, Tamer
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Louisville, Louisville, KY, USA
fYear :
2015
fDate :
14-17 May 2015
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a radial basis function (RBF) solution to the optimal control of drug administration in renal anemia treatment. Anemia management is formulated as a constrained optimal control problem and solved by an RBF method. RBF method is a numerical approach using RBF parameterization and orthogonal discretization to transcribe the optimal control problem into a nonlinear programming (NLP) problem. Then, a receding horizon control approach based on the RBF method is developed for individualized anemia management. The simulation results are compared with those obtained from a clinical protocol to verify the efficiency of the proposed method.
Keywords :
diseases; drugs; medical computing; nonlinear programming; numerical analysis; optimal control; patient treatment; radial basis function networks; RBF parameterization; constrained optimal control problem; individualized anemia management; nonlinear programming problem; numerical RBF method; optimal drug administration control; orthogonal discretization; radial basis function method; receding horizon control approach; renal anemia treatment; Approximation methods; Diseases; Drugs; Kidney; Optimal control; Optimization; Protocols; RBF method; RBF-based RHC; anemia management; optimal control; receding horizon control (RHC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Conference (GLBC), 2015 IEEE Great Lakes
Conference_Location :
Milwaukee, WI
Type :
conf
DOI :
10.1109/GLBC.2015.7158301
Filename :
7158301
Link To Document :
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