Smart Healthcare System Design. Группа авторов

Smart Healthcare System Design - Группа авторов


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      Scrivener Publishing 100 Cummings Center, Suite 541J Beverly, MA 01915-6106

       Advances in Learning Analytics for Intelligent Cloud-IoT Systems

       Series Editor: Dr. Souvik Pal and Dr. Dac-Nhuong Le

      The role of adaptation, learning analytics, computational Intelligence, and data analytics in the field of cloud-IoT systems is becoming increasingly essential and intertwined. The capability of an intelligent system depends on various self-decision-making algorithms in IoT devices. IoT-based smart systems generate a large amount of data (big data) that cannot be processed by traditional data processing algorithms and applications. Hence, this book series involves different computational methods incorporated within the system with the help of analytics reasoning and sense-making in big data, which is centered in the cloud and IoT-enabled environments. The series publishes volumes that are empirical studies, theoretical and numerical analysis, and novel research findings.

      Submission to the series: Please send proposals to Dr. Souvik Pal, Department of Computer Science and Engineering, Global Institute of Management and Technology, Krishna Nagar, West Bengal, India. E-mail: [email protected]

      Publishers at Scrivener Martin Scrivener ([email protected]) Phillip Carmical ([email protected])

      Smart Healthcare System Design

      Security and Privacy Aspects

      Edited by

      SK Hafizul Islam

       Department of Computer Science and Engineering, Indian Institute of Information Technology, Kalyani, India

       and

      Debabrata Samanta

       Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India

      This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA

      © 2021 Scrivener Publishing LLC

      For more information about Scrivener publications please visit www.scrivenerpublishing.com.

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

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       Library of Congress Cataloging-in-Publication Data

      ISBN 978-1-119-79168-3

      Cover image: Pixabay.Com

      Cover


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