Evolution in Medical Decision Making

  • Authors:

  • Matej Š/progar;Mitja Lenič/;Silvia Alayon

  • Affiliations:

  • Laboratory for System Design, University of Maribor, Smetanova 17, 2000 Maribor, Slovenia/ matej.sprogar@uni-mb.si;Laboratory for System Design, University of Maribor, Smetanova 17, 2000 Maribor, Slovenia;Department of Applied Physics, University of La Laguna, Spain

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2002

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Abstract

The classical approach to medical decision making can be limited by the underlying theories. The evolutionary computation is a different concept, which can find many different solutions of the problem. In medicine, this is useful because of different expectations the decision system must face. We implemented a tool for genetic induction of vector decision trees, which are a good choice for a medical decision model because of their simplicity and transparency. The vector decision tree gives multiple classifications in one single pass. Evolutionary development of such trees achieved good results when the results were statistically compared to those of other classical methods. For medical interpretation however a cooperation with doctors is needed to verify the model build.