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Intelligent medical decision support...

Dyczkowski, Krzysztof.

Intelligent medical decision support system based on imperfect informationthe case of ovarian tumor diagnosis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent medical decision support system based on imperfect informationby Krzysztof Dyczkowski.
Reminder of title:	the case of ovarian tumor diagnosis /
Author:	Dyczkowski, Krzysztof.
Published:	Cham :Springer International Publishing :2018.
Description:	xxi, 123 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	OvariesCancer
Online resource:	http://dx.doi.org/10.1007/978-3-319-67005-8
ISBN:	9783319670058$q(electronic bk.)

Intelligent medical decision support system based on imperfect informationthe case of ovarian tumor diagnosis /
Dyczkowski, Krzysztof.

Intelligent medical decision support system based on imperfect informationthe case of ovarian tumor diagnosis /[electronic resource] :by Krzysztof Dyczkowski. - Cham :Springer International Publishing :2018. - xxi, 123 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7351860-949X ;. - Studies in computational intelligence ;v. 216..

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.

ISBN: 9783319670058$q(electronic bk.)

Standard No.: 10.1007/978-3-319-67005-8doiSubjects--Topical Terms:

801333
Ovaries
--Cancer

LC Class. No.: RC280.O8

Dewey Class. No.: 616.9946506

Intelligent medical decision support system based on imperfect informationthe case of ovarian tumor diagnosis /
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245 1 0 $a Intelligent medical decision support system based on imperfect information $h [electronic resource] : $b the case of ovarian tumor diagnosis / $c by Krzysztof Dyczkowski.
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505 0 $a 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.
520 $a 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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