Pareto front for chemotherapy scheludes
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...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/210200 |
| Acceso en línea: | http://hdl.handle.net/11336/210200 |
| Access Level: | acceso abierto |
| Palabra clave: | Chemotherapy Optimization multiobjetive Mathematical Modeling Cancer https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
| Sumario: | 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). |
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