Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation

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@InProceedings{Affenzeller:2013:EUROCAST,

• author = "Michael Affenzeller and Stephan M. Winkler and Herbert Stekel and Stefan Forstenlechner and Stefan Wagner",
• title = "Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation",
• booktitle = "Computer Aided Systems Theory - EUROCAST 2013",
• year = "2013",
• editor = "Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia",
• volume = "8111",
• series = "Lecture Notes in Computer Science",
• pages = "316--323",
• address = "Las Palmas de Gran Canaria, Spain",
• month = feb # " 10-15",
• publisher = "Springer",
• note = "Revised Selected Papers, Part I",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-53855-1",
• language = "English",
• URL = "http://dx.doi.org/10.1007/978-3-642-53856-8_40",
• DOI = "doi:10.1007/978-3-642-53856-8_40",
• size = "8 pages",
• abstract = "This paper discusses a novel approach for the prediction of breast cancer, melanoma and cancer in the respiratory system using ensemble modelling techniques. For each type of cancer, a set of unequally complex predictors are learnt by symbolic classification based on genetic programming. In addition to standard ensemble modeling, where the prediction is based on a majority voting of the prediction models, two confidence parameters are used which aim to quantify the trustworthiness of each single prediction based on the clearness of the majority voting. Based on the calculated confidence of each ensemble prediction, predictions might be considered uncertain. The experimental part of this paper discusses the increase of accuracy that can be obtained for those samples which are considered trustable depending on the ratio of predictions that are considered trustable.",

}

Genetic Programming entries for Michael Affenzeller Stephan M Winkler Herbert Stekel Stefan Forstenlechner Stefan Wagner

Citations