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008 171003s2018 gw | s |||| 0|eng d
020 _a9783319670058
_9
024 7 _a10.1007/978-3-319-67005-8
_2doi
050 4 _aRC280.O8
_b2018 EB
100 1 _aDyczkowski, Krzysztof
_eaautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/n2018186058
_1http://viaf.org/viaf/315716750
245 1 0 _aIntelligent Medical Decision Support System Based on Imperfect Information :
_bThe Case of Ovarian Tumor Diagnosis
_cby Krzysztof Dyczkowski
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2018.
300 _a1 recurso en línea (XXI, 123 páginas)
_b55 ilustraciones, 51 ilustraciones a color
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v735
505 0 _aIntroduction -- 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.
520 _aThis 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 7 _aOvarios
_xCáncer
_2embne
_9225524
710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/148105729
_9106996
776 0 8 _iPrinted edition:
_z9783319670041
776 0 8 _iPrinted edition:
_z9783319670065
776 0 8 _iPrinted edition:
_z9783319883632
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-67005-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
998 _b05/2019
_dz
_ea
_feng
_ggw
_h0
999 _c108089
_d108089
_x1