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

  • Patricia Melin
  • German Prado-Arechiga

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Patricia Melin, German Prado-Arechiga
    Pages 1-3
  3. Patricia Melin, German Prado-Arechiga
    Pages 5-13
  4. Patricia Melin, German Prado-Arechiga
    Pages 15-22
  5. Patricia Melin, German Prado-Arechiga
    Pages 49-62
  6. Patricia Melin, German Prado-Arechiga
    Pages 63-75
  7. Patricia Melin, German Prado-Arechiga
    Pages 77-78
  8. Back Matter
    Pages 79-88

About this book


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.


Computational Intelligence Intelligent Systems Diagnosis of Arterial Hypertension Risk Evaluation of Arterial Hypertension Neural Networks Fuzzy Systems Genetic Algorithms

Authors and affiliations

  • Patricia Melin
    • 1
  • German Prado-Arechiga
    • 2
  1. 1.Division of Graduate StudiesTijuana Institute of Technology Division of Graduate StudiesTijuanaMexico
  2. 2.CardiodiagnosticoExcel Medical Center CardiodiagnosticoTijuanaMexico

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-61148-8
  • Online ISBN 978-3-319-61149-5
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Chemical Manufacturing
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences