Smart problem solving environment for medical decision support

Andrei Petrovski, John McCall
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
more » ... suggested problem solving environment scalable and adaptable to other problem domains. A user communicates with a PSE in the language of the problem, not in the language of a particular operating system, programming language, or network protocol [7] . PSEs also support collaboration among people separated in space or time, and provide access to a diverse set of information and computing recourses.
doi:10.1145/1102256.1102290 dblp:conf/gecco/PetrovskiM05 fatcat:es7eq7wwq5atbi6lyqh3rdirly