Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cmpb.2005.06.002
Title: Sampling schedule design towards optimal drug monitoring for individualizing therapy
Authors: Ji, S. 
Zeng, Y.
Wu, P.
Lee, E.J.D. 
Keywords: Sampling schedule
Simulated annealing
Stochastic approximation
Stochastic closed-loop control
Therapeutic drug monitoring
Issue Date: Oct-2005
Citation: Ji, S., Zeng, Y., Wu, P., Lee, E.J.D. (2005-10). Sampling schedule design towards optimal drug monitoring for individualizing therapy. Computer Methods and Programs in Biomedicine 80 (1) : 57-63. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cmpb.2005.06.002
Abstract: We study the individualization of therapy by simultaneously taking into account the design of sampling schedule and optimal therapeutic drug monitoring. The sampling schedule design in this work is to determine the number of samples, the sampling times, the switching time from the loading to the maintenance period, and the drug dosages. A closed-loop control policy is employed to determine the sampling schedule, and an advanced stochastic global optimization algorithm, which integrates the stochastic approximation and simulated annealing techniques, is implemented to search the optimal sampling schedule. A simulated one-compartment model of intravenous theophylline therapy is used to illustrate our method. This method can be readily extended to multiple compartment systems and allow incorporating other criteria of drug control. While currently the method is mainly of theoretical interest, it offers a starting point for practical applications and thus is hopefully of great value for the clinically individualizing therapy in the future. © 2005 Elsevier Ireland Ltd. All rights reserved.
Source Title: Computer Methods and Programs in Biomedicine
URI: http://scholarbank.nus.edu.sg/handle/10635/130602
ISSN: 01692607
DOI: 10.1016/j.cmpb.2005.06.002
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