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A Bipolar View on Medical Diagnosis in OvaExpert System

  • Anna Stachowiak
  • Krzysztof Dyczkowski
  • Andrzej Wójtowicz
  • Patryk Żywica
  • Maciej Wygralak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 400)

Abstract

In the paper we present OvaExpert - a unique tool for supporting gynecologists in the diagnosis of ovarian tumor, combining classical diagnostic scales with modern methods of machine learning and soft computing. A distinguishing feature of the system is its comprehensiveness, which makes it usable at any stage of a diagnostic process. We gather all the results and solutions making up the system, some of which were described in our other publications, to provide an overall picture of OvaExpert and its capabilities. A special attention is paid to a property of supporting uncertainty modeling and processing, that is an essential part of the system.

Keywords

Supporting medical diagnosis Incomplete data Bipolar information Uncertainty Aggregation Interval-valued fuzzy sets Atanassov’s intuitionistic fuzzy sets 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Anna Stachowiak
    • 1
  • Krzysztof Dyczkowski
    • 1
  • Andrzej Wójtowicz
    • 1
  • Patryk Żywica
    • 1
  • Maciej Wygralak
    • 1
  1. 1.Faculty of Mathematics and Computer ScienceAdam Mickiewicz University in PoznańPoznańPoland

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