000			02722nam a22003495i 4500
001			102468
003			DE-He213
005			20230113194808.0
007			cr nn 008mamaa
008			170704s2018 gw | s |||| 0|eng d
020			_a9783319611495
024	7		_a10.1007/978-3-319-61149-5 _2doi
040			_aES-MaUEC
050		4	_aRC685.H8 _bM455 2018 EB
100	1		_aMelin, Patricia _d1962- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/85213429/ _997926
245	1	0	_aNew Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension _cby Patricia Melin, German Prado-Arechiga.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (VIII, 88 páginas 48 ilustraciones, 47 ilustraciones a color)
347			_atext file _bPDF
490	0		_aSpringerBriefs in Computational Intelligence _x2625-3704
505	0		_aFrom the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
520	3		_aIn this book, a new approach for diagnosis and risk evaluation of ar-terial hypertension is introduced. The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters. The experimental results obtained using the proposed method on real pa-tient data show that when the optimization is used, the results can be better than without optimization. This book is intended to be a refer-ence for scientists and physicians interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also in general to classification and pattern recognition and similar problems.
650		7	_aHipertensión _2embne _9140794
650		7	_aIngeniería biomédica _9143820 _2embne
700	1		_aPrado-Arechiga, German _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2018184018 _1http://viaf.org/viaf/332152742982027731895/
776	0	8	_iEdición impresa: _z9783319611488
776	0	8	_iEdición impresa: _z9783319611501
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-61149-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b01/2019 _dz _ek _feng _ggw _h0
999			_c102468 _d102468 _x1