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Optimal Intermittent Dose Schedules for Chemotherapy Using Genetic Algorithm
2013
Advances in Distributed Computing and Artificial Intelligence Journal
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 achieve using conventional clinical methods due to poor therapeutic indices of existing anti-cancer drugs. Moreover, there are clinical limitations in treatment administration to maintain continuous
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