Abstract
We present in this book a novel model for classification, diagnosis and risk evaluation of high blood pressure or arterial hypertension using new hybrid intelligent systems, combining Modular Neural Networks, Fuzzy Logic and Genetic Algorithms. The motivation of this research work is based on the importance of developing new methods using Computational Intelligence for application in medicine, particularly in the area of cardiology to diagnose cardiovascular diseases. In this particular case to help medical doctors diagnose, classify and determine the possible risk of developing high blood pressure.
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Melin, P., Prado-Arechiga, G. (2018). Conclusions. 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_7
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DOI: https://doi.org/10.1007/978-3-319-61149-5_7
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61148-8
Online ISBN: 978-3-319-61149-5
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