Intelligent Medical Decision Support System Based on Imperfect Information

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106,99 

The Case of Ovarian Tumor Diagnosis, Studies in Computational Intelligence 735

ISBN: 3319670042
ISBN 13: 9783319670041
Autor: Dyczkowski, Krzysztof
Verlag: Springer Verlag GmbH
Umfang: xxi, 123 S., 4 s/w Illustr., 51 farbige Illustr., 123 p. 55 illus., 51 illus. in color.
Erscheinungsdatum: 11.10.2017
Auflage: 1/2018
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 2682885 Kategorie:

Beschreibung

Describes and outlines the theoretical foundations of the OvaExpert system created by the author and his teamDemonstrates how the system helps physicians diagnose ovarian tumors using computational intelligence methods with particular focus on the problem of data incompletenessIntroduces basic information on medical diagnosis and the diagnosis of ovarian tumorsDiscusses original algorithms based on the cardinalities of interval-valued fuzzy sets

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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