Proposed Neuro Fuzzy Hybrid Model
The proposed method is based on the neuro-fuzzy model for classification in medical diagnosis, which in this work it is being applied to blood pressure classification, where it is determined whether a patient suffers from hypertension or not.
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Patricia Melin Juan Carlos Guzmán German Prado-Arechiga
Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis 123
SpringerBriefs in Applied Sciences and Technology Computational Intelligence
Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
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Patricia Melin Juan Carlos Guzmán German Prado-Arechiga •
•
Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis
123
Patricia Melin Division of Graduate Studies Tijuana Institute of Technology Tijuana, Baja California, Mexico
Juan Carlos Guzmán Division of Graduate Studies Tijuana Institute of Technology Tijuana, Baja California, Mexico
German Prado-Arechiga Department of Cardiodiagnostico Excel Medical Center Tijuana, Baja California, Mexico
ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISSN 2625-3704 ISSN 2625-3712 (electronic) SpringerBriefs in Computational Intelligence ISBN 978-3-030-60480-6 ISBN 978-3-030-60481-3 (eBook) https://doi.org/10.1007/978-3-030-60481-3 © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Nowadays, the use of ar
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