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Several evolutionary modelling approaches implemented in HeuristicLab have been applied for subsequently identifying estimators for selected cancer diagnoses: Linear regression, k-nearest neighbour learning, artificial neural networks, and support vector machines (all optimised using evolutionary algorithms) as well as genetic programming. As we show in the results section, the investigated diagnoses of breast cancer, melanoma, and respiratory system cancer can be estimated correctly in up to 84.2percent, 80.3percent, and 94.1percent of the analysed test cases, respectively; without tumour markers up to 78.2percent, 78percent, and 93.3percent of the test samples are correctly estimated, respectively.",
Genetic Programming entries for Stephan M Winkler Michael Affenzeller Herbert Stekel