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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 Editors: Dr. Souvik Pal and Dr. Dac-Nhuong Le
Scope: 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 seeks volumes that are empirical studies, theoretical and numerical analysis, and novel research findings. The series encourages cross-fertilization of highlighting research and knowledge of Data Analytics, Machine Learning, Data Science, and IoT sustainable developments.
Please send proposals to:
Dr. Souvik Pal
Department of Computer Science and Engineering
Global Institute of Management and Technology
Krishna Nagar
West Bengal, India
Dr. Dac-Nhuong Le
Faculty of Information Technology, Haiphong University, Haiphong, Vietnam
Publishers at Scrivener
Martin Scrivener ([email protected]) Phillip Carmical ([email protected])
The Internet of Medical Things (IoMT)
Healthcare Transformation
Edited by
R.J. Hemalatha
D. Akila
D. Balaganesh
and
Anand Paul
This edition first published 2022 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 © 2022 Scrivener Publishing LLC
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Library of Congress Cataloging-in-Publication Data
ISBN 978-1-119-76883-8
Cover image: Pixabay.Com
Cover design by Russell Richardson
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