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A Model Predictive Control Approach for Optimal Drug Administration

Sarimveis, Haralambos and Sopasakis, Pantelis and Afantitis, Antreas and Melagraki, Georgia A Model Predictive Control Approach for Optimal Drug Administration. In: Chemical Engineering Transactions, Series. AIDIC, pp. 1311-1316. ISBN 978-88-95608-01-3 (2009)

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The barriers between systems engineering and medicine are slowly eroding as recently it has become evident that medicine has a lot to gain by systems technology. In particular, the drug administration problem be cast as a control engineering problem, where the objective is to keep the drug concentration at certain organs in the body close to desired set-points. A number of constraints render the problem rather challenging. For example, hard constraints may be posed on the drug concentration in blood, because a higher than a certain limit concentration may render the drug effects adverse and toxic. In this paper we show that a popular method for tackling chemical engineering control problems can be used for determining the optimal drug administration. Specifically, the Model Predictive Control (MPC) technology is used for taking optimal decisions regarding of drug concentration in the human body, while incorporating constraints on both drug concentration and drug infusion rate.

Item Type: Book Section
Identification Number: 10.3303/CET0917219
Additional Information: Proceedings of the ICheaP-9 - The 9th international conference on Chemical and Process Engineering, held in Rome, Italy, 10-13 May 2009
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RM Therapeutics. Pharmacology
T Technology > TP Chemical technology
Research Area: Computer Science and Applications
Depositing User: Users 44 not found.
Date Deposited: 24 Jan 2013 15:10
Last Modified: 12 Mar 2013 14:57
URI: http://eprints.imtlucca.it/id/eprint/1468

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