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New hybrid intelligent systems for diagnosis and risk evaluation of arterial hypertension

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Melin, Patricia Prado-Arechiga, German Springer International Publishing (Cham, Switzerland , 2018) (eng) English 9783319611495 Springer briefs in computational intelligence 1st ed. MEDICAL INFORMATICS; Unknown 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.

Physical dimension
1 online resource (viii, 88 p.) Unknown ill. (in color.)

Summary / review / 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.


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Access no. Call number Location Status
01286/20 620 Mel N Online Available