Intelligent Medical Decision Support System Based on Imperfect Information The Case of Ovarian Tumor Diagnosis /
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)...
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| Hlavný autor: | |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | English |
| Vydavateľské údaje: |
Cham :
Springer International Publishing,
2018.
|
| Vydanie: | 1st ed. 2018. |
| Edícia: | Studies in Computational Intelligence,
735 |
| Predmet: | |
| ISBN: | 9783319670058 |
| ISSN: | 1860-949X ; |
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| 005 | 20220618101005.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171003s2018 gw | s |||| 0|eng d | ||
| 020 | |a 9783319670058 | ||
| 024 | 7 | |a 10.1007/978-3-319-67005-8 |2 doi | |
| 035 | |a CVTIDW10617 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Dyczkowski, Krzysztof. |4 aut | |
| 245 | 1 | 0 | |a Intelligent Medical Decision Support System Based on Imperfect Information |h [electronic resource] : |b The Case of Ovarian Tumor Diagnosis / |c by Krzysztof Dyczkowski. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Cham : |b Springer International Publishing, |c 2018. | |
| 300 | |a XXI, 123 p. 55 illus., 51 illus. in color. |b online resource. | ||
| 490 | 1 | |a Studies in Computational Intelligence, |x 1860-949X ; |v 735 | |
| 500 | |a Engineering | ||
| 505 | 0 | |a 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. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Oncology . | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-3-319-67005-8 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE07897 | ||
| 919 | |a 978-3-319-67005-8 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 236274 |d 236274 | ||