Intelligent medical decision support system based on imperfect information : the case of ovarian tumor diagnosis 1st ed.

Author

• Dyczkowski, Krzysztof

Additional Author(s)

-

Publisher

Cham, Switzerland : Springer International Publishing, 2018

Language

English

ISBN

9783319670058

Series

Studies in Computational Intelligence 735

Subject(s)

• ARTIFICIAL INTELLIGENCE
• BIOMEDICAL ENGINEERING
• ONCOLOGY

Notes

. .

Abstract

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.

Physical Dimension

Number of Page(s)

1 online resource (xxi, 123 p.)

Dimension

-

Other Desc.

ill. (in col.)

Summary / Review / Table of Content

Introduction --
Medical foundations --
Elements of fuzzy set theory --
Cardinalities of interval-valued fuzzy sets and their applications in decision making with imperfect information --
OvaExpert System --
Summary.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00764/20	616.9946506 Dyc I	Online !	Available