Decision support system for cancer chemotherapy schedules

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Abstract

In a chemotherapy scheduling process a chemotherapy is a treatment of cancer using a set of toxic drugs. In the paper we propose a Decision Support System for the anti-cancer medical treatment to improve physicians' decisions about drugs doses selection and scheduling. A hybrid meta-heuristic algorithm has been applied to the problem of bi-criteria optimization allowing to find effective chemotherapy drugs dose scheduling as the minimization of a tumor size at a fixed period of time and maximization of Patient Survival Time. The numerical tests of proposed algorithm gives the possibility of producing a set of alternative treatment scenarios according to the final decision. © 2013 Springer-Verlag Berlin Heidelberg.

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APA

Szlachcic, E., & Porombka, P. (2013). Decision support system for cancer chemotherapy schedules. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8112 LNCS, pp. 226–233). Springer Verlag. https://doi.org/10.1007/978-3-642-53862-9_29

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