000 | 03159nam a22005415i 4500 | ||
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001 | 978-3-319-61149-5 | ||
003 | DE-He213 | ||
005 | 20220801222740.0 | ||
007 | cr nn 008mamaa | ||
008 | 170704s2018 sz | s |||| 0|eng d | ||
020 |
_a9783319611495 _9978-3-319-61149-5 |
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024 | 7 |
_a10.1007/978-3-319-61149-5 _2doi |
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072 | 7 |
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_a006.3 _223 |
100 | 1 |
_aMelin, Patricia. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _963157 |
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245 | 1 | 0 |
_aNew Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension _h[electronic resource] / _cby Patricia Melin, German Prado-Arechiga. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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300 |
_aVIII, 88 p. 48 illus., 47 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 |
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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 | _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 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aBiomedical engineering. _93292 |
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650 | 0 |
_aMedical informatics. _94729 |
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650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aBiomedical Engineering and Bioengineering. _931842 |
650 | 2 | 4 |
_aHealth Informatics. _931799 |
700 | 1 |
_aPrado-Arechiga, German. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _963158 |
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710 | 2 |
_aSpringerLink (Online service) _963159 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319611488 |
776 | 0 | 8 |
_iPrinted edition: _z9783319611501 |
830 | 0 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 _963160 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-61149-5 |
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