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E-book
Author Dyczkowski, Krzysztof, author

Title Intelligent medical decision support system based on imperfect information : the case of ovarian tumor diagnosis / Krzysztof Dyczkowski
Published Cham, Switzerland : Springer, [2018]

Copies

Description 1 online resource (xxi, 123 pages) : illustrations (some color)
Series Studies in computational intelligence, 1860-949X ; volume 735
Studies in computational intelligence ; v. 735. 1860-949X
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
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed October 16, 2017)
Subject Ovaries -- Cancer -- Diagnosis -- Data processing
Artificial intelligence.
Biomedical engineering.
Oncology.
Computers -- Intelligence (AI) & Semantics.
Medical -- Allied Health Services -- Medical Technology.
Medical -- Oncology.
Technology & Engineering -- Engineering (General)
Artificial intelligence
Biomedical engineering
Computational intelligence
Engineering
Oncology
Form Electronic book
ISBN 9783319670058
3319670050
3319670042
9783319670041