Titlebook: New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension; Patricia Melin,German Prado-Arechiga Book 2018

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Patricia Melin,German Prado-ArechigaPresents a new approach for diagnosis and risk evaluation of arterial hypertension.Demonstrates the implementation of the approach as a hybrid intelligent system combining modular neural networks and

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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension978-3-319-61149-5Series ISSN 2191-530X Series E-ISSN 2191-5318

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Introduction,mbining Modular Neural Networks, Fuzzy Logic and Genetic Algorithms. We focused on the development of hybrid intelligent systems; for classification of blood pressure levels using the experience of cardiologists and the guidelines of European Society of Cardiology, and for constructing a fuzzy logic

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Fuzzy Logic for Arterial Hypertension Classification,tcomes, such as heart attack, stroke and renal failure. The HBP seriously threats the health of people worldwide. One of the dangerous aspects is that people may not know that they have it. In fact, nearly one-third of people who have high blood pressure don’t know it. The only way to know if the bl

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Neuro-Fuzzy Modular Approaches for Classification of Arterial Hypertension with a Method for the Ex as: neural networks, fuzzy logic and evolutionary computation, in the last technique genetic algorithms (GAs) are used. The objective is to model the behavior of blood pressure based on monitoring data of 24?h per patient and to obtain the trend, which is classified using a fuzzy system based on ru

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Design of Modular Neural Network for Arterial Hypertension Diagnosis,sts of a modular neural network and its response with average integration. The proposed approach consists on applying these methods to find the best architecture of the modular neural network and the lowest prediction error. Simulations results show that the modular network produces a good diagnosti