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

Libro 245 de 538: Studies in Computational Intelligence

Dyczkowski, Krzysztof

 
9783319670041: Intelligent Medical Decision Support System Based on Imperfect Information: The Case of Ovarian Tumor Diagnosis: 735 (Studies in Computational Intelligence, 735)
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ISBN 10: 3319670042 ISBN 13: 9783319670041
Editorial: Springer, 2017

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3319670042
ISBN 13 
9783319670041
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
148
Contacto del fabricante
no disponible
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