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A Journey trough Clinical Applications of Multimethod Decision Trees

  • Petra Povalej
  • Mitja Lenič
  • Milojka Molan Štiglic
  • Maja Skerbinjek Kavalar
  • Jernej Završnik
  • Peter Kokol
Conference paper
  • 440 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2780)

Abstract

We present a journey through successful applications of multimethod approach to induction of decision trees in knowledge extraction, discovery of new knowledge and early diagnosis on the cases of asthma, cardiovascular problems and mitral valve prolapse. The results show that the multimethod approach is a powerful and promising technique enabling the conformation of existing medical knowledge and more interestingly, also enables the induction of new facts and hypothesis, which can reveal some new interesting patterns and possibly improve the existing medical knowledge.

Keywords

Decision Tree Knowledge Representation Intelligent System Mitral Valve Prolapse Aortic Valve Disease 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Petra Povalej
    • 1
  • Mitja Lenič
    • 1
  • Milojka Molan Štiglic
    • 3
  • Maja Skerbinjek Kavalar
    • 3
  • Jernej Završnik
    • 2
  • Peter Kokol
    • 1
  1. 1.Faculty of Electrical Engineering and Computer Science, Laboratory, for System DesignUniversity of MariborMariborSlovenia
  2. 2.Adolf Drolc Health CentreMariborSlovenia
  3. 3.Department of Paediatric SurgeryMaribor Teaching HospitalMariborSlovenia

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