Intelligent Medical Decision Support System Based on Imperfect Information: The Case of Ovarian Tumor Diagnosis (Studies in Computational Intelligence, Band 735) - Softcover

Dyczkowski, Krzysztof

Softcover

ISBN 10: 3319883631 ISBN 13: 9783319883632

Verlag: Springer, 2018

Inhaltsangabe

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

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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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2018
• Sprache: Englisch
• ISBN 10: 3319883631
• ISBN 13: 9783319883632
• Einband: Taschenbuch
• Anzahl der Seiten: 148
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland