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

• Main Authors: Melin, Patricia (Author, http://id.loc.gov/vocabulary/relators/aut), Prado-Arechiga, German (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Computational Intelligence,
• Subjects: Computational intelligence.; Biomedical engineering.; Health informatics.; Computational Intelligence.; Biomedical Engineering and Bioengineering.; Health Informatics.

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....

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.