Intelligent Medical Decision Support System Based on Imperfect Information

The Case of Ovarian Tumor Diagnosis

Nonfiction, Health & Well Being, Medical, Allied Health Services, Medical Technology, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Intelligent Medical Decision Support System Based on Imperfect Information by Krzysztof Dyczkowski, Springer International Publishing
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Author: Krzysztof Dyczkowski ISBN: 9783319670058
Publisher: Springer International Publishing Publication: October 1, 2017
Imprint: Springer Language: English
Author: Krzysztof Dyczkowski
ISBN: 9783319670058
Publisher: Springer International Publishing
Publication: October 1, 2017
Imprint: Springer
Language: English

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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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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