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Smart problem solving environment for medical decision support
2005
Proceedings of the 2005 workshops on Genetic and evolutionary computation - GECCO '05
This paper presents a medical problem solving environment (PSE) designed for modelling, simulation, and optimisation of clinical cancer chemotherapy. In order to find optimal chemotherapeutic treatments, two population-based evolutionary algorithms -Genetic Algorithms and Particle Swarm Optimisation -have been applied, which can use web services and grid computing to evaluate potential solutions in a distributed and customizable manner. The versatility and robustness of these algorithms make
doi:10.1145/1102256.1102290
dblp:conf/gecco/PetrovskiM05
fatcat:es7eq7wwq5atbi6lyqh3rdirly