An integer programming approach for optimal drug dose computation

Sopasakis, P; Sarimveis, H

dc.contributor.author	Sopasakis, P	en
dc.contributor.author	Sarimveis, H	en
dc.date.accessioned	2014-03-01T11:46:39Z
dc.date.available	2014-03-01T11:46:39Z
dc.date.issued	2012	en
dc.identifier.issn	01692607	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/38000
dc.subject	FIR model	en
dc.subject	Integer programming	en
dc.subject	Optimal drug dosing	en
dc.subject	Pharmacokinetics	en
dc.title	An integer programming approach for optimal drug dose computation	en
heal.type	other	en
heal.identifier.primary	10.1016/j.cmpb.2012.06.008	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.cmpb.2012.06.008	en
heal.publicationDate	2012	en
heal.abstract	In this paper, we study the problem of determining the optimal drug administration strategy when only a finite number of different dosages are available, a lower bound is posed on the time intervals between two consecutive doses, and drug concentrations should not exceed the toxic concentration levels. The presence of only binary variables leads to the adoption of an integer programming (IP) scheme for the formulation and solution of the drug dose optimal control problem. The proposed method is extended to account for the stochastic formulation of the optimal control problem, so that it can be used in practical applications where large populations of patients are to be treated. A Finite Impulse Response (FIR) model derived from experimental pharmacokinetic data is employed to correlate the administered drug dose with the concentration-time profiles of the drug in the compartments (organs) of the body. © 2012 Elsevier Ireland Ltd. All rights reserved.	en
heal.journalName	Computer Methods and Programs in Biomedicine	en
dc.identifier.doi	10.1016/j.cmpb.2012.06.008	en