New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

by Patricia Melin, German Prado-Arechiga

Overview

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.

Product Details

ISBN-13:	9783319611488
Publisher:	Springer International Publishing
Publication date:	07/05/2017
Series:	SpringerBriefs in Applied Sciences and Technology
Edition description:	1st ed. 2018
Pages:	88
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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