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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G. Mancia, ESH/ESC Guidelines for the management of arterial hypertension. J. Hypertens. 31(7), 1281–1357 (2013)
P. Kearney, M. Whelton, P. Reynolds, H. Whelton, H. Jiang, Worldwide prevalence of hypertension. J. Hypertens. 22(1), 11–19 (2004)
G Stevens, R Dias, K Thomas, J Rivera, Carvalho , Barquera S, Characterizing the epidemiological transition in Mexico: National and subnational burden of disease, injures, and risk factors . PLoSMed. 5(6):el 25 (2008)
S Barquera, I Campos-Nonato, L Hernandez-Barrera, S Villalpando, C Rodriguez-Gilabert, R Durazo-Arvizu, et al, Hypertension in Mexican adults: results from the National Health and Nutrition Survey 2006. Salud Publica Mex. vol. 52 suppl. I: S63–S71 (2010)
Mearns B. Hypertension, Tackling challenges in the diagnosis and management of hypertension in 2012. Nat. Rev. Cardiol. 9(5), 253–254 (2012)
Encuesta Nacional de Salud y Nutrición. (ENSANUT, 2012). http://ensanut.insp.mx/
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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
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