Optimal Intermittent Dose Schedules for Chemotherapy Using Genetic Algorithm

Optimal Intermittent Dose Schedules for Chemotherapy Using Genetic Algorithm

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In this paper, a design method for optimal cancer chemotherapy schedules via genetic algorithm (GA) is presented. The design targets the key objective of chemotherapy to minimize the size of cancer tumor after a predefined time with keeping toxic side effects in limit. This is a difficult target to...

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Bibliographic Details
Main Authors: Nadia ALAM, Munira SULTANA, M.S. ALAM, M. A. AL-MAMUN, M. A. HOSSAIN
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2013-08-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
drug scheduling
cancer chemotherapy
mathematical model
optimization
genetic algorithm
Online Access:https://revistas.usal.es/index.php/2255-2863/article/view/10395

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https://revistas.usal.es/index.php/2255-2863/article/view/10395

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