Overview
- Describes and outlines the theoretical foundations of the OvaExpert system created by the author and his team
- Demonstrates how the system helps physicians diagnose ovarian tumors using computational intelligence methods with particular focus on the problem of data incompleteness
- Introduces basic information on medical diagnosis and the diagnosis of ovarian tumors
- Discusses original algorithms based on the cardinalities of interval-valued fuzzy sets
Part of the book series: Studies in Computational Intelligence (SCI, volume 735)
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Table of contents (6 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Medical Decision Support System Based on Imperfect Information
Book Subtitle: The Case of Ovarian Tumor Diagnosis
Authors: Krzysztof Dyczkowski
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-67005-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-67004-1Published: 11 October 2017
Softcover ISBN: 978-3-319-88363-2Published: 25 August 2018
eBook ISBN: 978-3-319-67005-8Published: 01 October 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXI, 123
Number of Illustrations: 4 b/w illustrations, 51 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Biomedical Engineering/Biotechnology, Oncology, Biomedical Engineering and Bioengineering
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