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

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Abstract

In the book we present a novel model for classification, diagnosis and risk evaluation of high blood pressure using new hybrid intelligent systems, combining 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 classification method based on patient’s Blood pressure.

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Correspondence to Patricia Melin .

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Melin, P., Prado-Arechiga, G. (2018). Introduction. In: New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-61149-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-61149-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61148-8

  • Online ISBN: 978-3-319-61149-5

  • eBook Packages: EngineeringEngineering (R0)

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