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New hybrid intelligent systems for d...

Melin, Patricia.

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New hybrid intelligent systems for diagnosis and risk evaluation of arterial hypertension

Record Type:	Electronic resources : Monograph/item
Title/Author:	New hybrid intelligent systems for diagnosis and risk evaluation of arterial hypertension/ by Patricia Melin, German Prado-Arechiga.
Author:	Melin, Patricia.
other author:	Prado-Arechiga, German.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	viii, 88 p. :ill., digital ;24 cm.
[NT 15003449]:	From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
Contained By:	Springer eBooks
Subject:	Hypertension - Diagnosis. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-61149-5
ISBN:	9783319611495

New hybrid intelligent systems for diagnosis and risk evaluation of arterial hypertension
Melin, Patricia.

New hybrid intelligent systems for diagnosis and risk evaluation of arterial hypertension[electronic resource] /by Patricia Melin, German Prado-Arechiga. - Cham :Springer International Publishing :2018. - viii, 88 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.

In 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.

ISBN: 9783319611495

Standard No.: 10.1007/978-3-319-61149-5doiSubjects--Topical Terms:

2017252
Hypertension
--Diagnosis.

LC Class. No.: RC685.H8

Dewey Class. No.: 616.132075

New hybrid intelligent systems for diagnosis and risk evaluation of arterial hypertension
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490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
520 $a In 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.
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