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CONICET Digital
Article . 2012
License: CC BY NC SA
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Pareto front for chemotherapy scheludes

Authors: Barrea, Andres Alberto; Hernandez, Matias Ezequiel;

Pareto front for chemotherapy scheludes

Abstract

In this paper we consider a multi-objective approach to chemother-apy optimization. We assume that the dynamics of the tumor are mod-eling for the stochastic Gompertz growth model with a linear cell-losseffect . We consider fuzzy constraints for the problem. The primaryobjective is to eradicate the tumor (curative treatment) , the secondobjective of cancer chemotherapy is to prolong the patient survival .time maintaining a reasonable quality of life during the palliation pe-riod. Numerical results are presented for a particular case (bladdercancer).

Fil: Hernandez, Matias Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina

Fil: Barrea, Andres Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina

Country
Argentina
Keywords

Mathematical Modeling, Chemotherapy, https://purl.org/becyt/ford/1.1, https://purl.org/becyt/ford/1, Optimization multiobjetive, Cancer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green