Hybridization of immunological computation and fuzzy systems in surgery decision making

  • Authors:
  • Elisabeth Rakus-Andersson

  • Affiliations:
  • Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science, Karlskrona, Sweden

  • Venue:
  • KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
  • Year:
  • 2011

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Abstract

From the domain of Computational Intelligence we have selected immunological computation and fuzzy systems to combine them in a new hybrid model. This novel numerical method has been tested on patient data strings to make decisions about the choices of surgery types. The model input clinical data concerns patients who suffer from gastric cancer.