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Intelligent Medical Decision Support System Based on Imperfect Information : The Case of Ovarian Tumor Diagnosis / by Krzysztof Dyczkowski

By: Dyczkowski, Krzysztof, aautor
Contributor(s): SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (Studies in Computational Intelligence, 1860-949X ; 735); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Description: 1 recurso en línea (XXI, 123 páginas) : 55 ilustraciones, 51 ilustraciones a color.ISBN: 9783319670058.Subject: Ovarios -- CáncerOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Summary: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud RC280.O8 2018 EB (Browse shelf(Opens below)) Acceso electrónico eBook.13022160
Total holds: 0

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.

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.

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