SpringerBriefs in Applied Sciences and Technology

Melin, Patricia; Prado-Arechiga, German

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.

Details

Published by: Springer

Publication Date: 2017-07-12

Format: Paperback

ISBN-13: 9783319611488

DOI: 10.1007/978-3-319-61149-5

Dimensions: 235cm x155cm

Pages: 88