Intelligent medical decision support system based on imperfect information : the case of ovarian tumor diagnosis / Krzysztof Dyczkowski.
Dyczkowski, Krzysztof, author.
2018
RC280.O8
Available Online

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Title Intelligent medical decision support system based on imperfect information : the case of ovarian tumor diagnosis / Krzysztof Dyczkowski.
Author Dyczkowski, Krzysztof, author.
ISBN 9783319670058 (electronic book)
3319670050 (electronic book)
9783319670041
DOI https://doi.org/10.1007/978-3-319-67005-8
Published Cham, Switzerland : Springer, [2018].
Language English
Description 1 online resource (xxi, 123 pages) : illustrations.
Item Number 10.1007/978-3-319-67005-8 doi
Call Number RC280.O8
Dewey Decimal Classification 616.99/46506
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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 16, 2017).
Series Studies in computational intelligence ; v. 735.
Available in Other Form Print version: 9783319670041
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Record Appears in Online Resources > Ebooks
All Resources
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.

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