New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension (Paperback, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Computational Intelligence
Release date:	July 2017
First published:	2018
Authors:	Patricia Melin • German Prado-Arechiga
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	88
Edition:	1st ed. 2018
ISBN-13:	978-3-319-61148-8
Categories:	Books > Medicine > Clinical & internal medicine > Respiratory medicine Books > Medicine > General issues > Medical equipment & techniques > General Books > Medicine > Clinical & internal medicine > Medical diagnosis > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-61148-8
Barcode:	9783319611488

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