Intelligent Medical Decision Support System Based on Imperfect Information

The Case of Ovarian Tumor Diagnosis

  • Krzysztof Dyczkowski

Part of the Studies in Computational Intelligence book series (SCI, volume 735)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Krzysztof Dyczkowski
    Pages 1-3
  3. Krzysztof Dyczkowski
    Pages 5-28
  4. Krzysztof Dyczkowski
    Pages 29-54
  5. Krzysztof Dyczkowski
    Pages 95-107
  6. Krzysztof Dyczkowski
    Pages 109-111
  7. Back Matter
    Pages 113-123

About this book

Introduction

This book discusses computer-supported medical diagnosis with a particular focus on ovarian tumor diagnosis – since ovarian cancer is difficult to diagnose and has high mortality rates, especially in Central and Eastern Europe. It presents the theoretical foundations (both medical and mathematical) of the intelligent OvaExpert system, which supports decision-making in tumor diagnosis. OvaExpert was created primarily to help gynecologists predict the malignancy of ovarian tumors by applying the existing diagnostic models and using modern methods of computational intelligence that accommodate imprecise and imperfect medical data, both of which are common features of everyday medical practice. The book presents novel methods based on interval-valued fuzzy sets and the theory of their cardinalities.

Keywords

Computational Intelligence Intelligent Medical Decision Support System Ovarian Tumor Diagnosis Interval-valued Fuzzy Sets Medical Diagnosis OvaExper

Authors and affiliations

  • Krzysztof Dyczkowski
    • 1
  1. 1.Faculty of Mathematics and Computer Science, Department of Imprecise Information Processing MethodsAdam Mickiewicz UniversityPoznańPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67005-8
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-67004-1
  • Online ISBN 978-3-319-67005-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book