Table Of ContentHEALTHCARE AND
KNOWLEDGE
MANAGEMENT FOR
SOCIETY 5.0
HEALTHCARE AND
KNOWLEDGE
MANAGEMENT FOR
SOCIETY 5.0
Trends, Issues, and Innovations
Edited by
Vineet Kansal, Raju Ranjan, Sapna Sinha,
Rajdev Tiwari, and Nilmini Wickramasinghe
First edition published 2022
by CRC Press
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and by CRC Press
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© 2022 selection and editorial matter, Vineet Kansal, Raju Ranjan, Sapna Sinha, Rajdev
Tiwari, and Nilmini Wickramasinghe; individual chapters, the contributors
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Library of Congress Cataloging-in-Publication Data
Names: Kansal, Vineet, editor. | Ranjan, Raju, editor. | Sinha, Sapna, editor. | Tiwari,
Rajdev, editor. | Wickramasinghe, Nilmini, editor.
Title: Healthcare and knowledge management for society 5.0 : trends, issues, and
innovations / edited by Vineet Kansal, Raju Ranjan, Sapna Sinha, Rajdev Tiwari and
Nilmini Wickramasinghe.
Description: First edition. | Boca Raton : CRC Press, 2022. |
Series: Demystifying technologies for computional excellence | Includes bibliographical
references and index.
Identifiers: LCCN 2021038011 (print) | LCCN 2021038012 (ebook) | ISBN
9780367768096 (hardback) | ISBN 9780367768102 (paperback) | ISBN 9781003168638
(ebook)
Subjects: LCSH: Medical informatic. | Medical care--Technological innovations. |
Knowledge management.
Classification: LCC R858 .H343 2022 (print) | LCC R858 (ebook) | DDC 610.285--dc23/
eng/20211004
LC record available at https://lccn.loc.gov/2021038011
LC ebook record available at https://lccn.loc.gov/2021038012
ISBN: 978-0-367-76809-6 (hbk)
ISBN: 978-0-367-76810-2 (pbk)
ISBN: 978-1-003-16863-8 (ebk)
DOI: 10.1201/9781003168638
Typeset in Times
by MPS Limited, Dehradun
Contents
Preface.......................................................................................................................ix
Editors......................................................................................................................xv
Contributors..........................................................................................................xviii
Chapter 1 Blockchain Technology for Health Care............................................1
Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, and
Santar Pal Singh
Chapter 2 Diagnosing Patient Health Conditions and Improving
the Patient Experience: An Application of AI and ML...................21
Shiji Abraham, G Mamatha, Harisha, P M Srinivas,
B Rao Supriya, Shetty S Shailesh, A Supriya, and Kanmani
Chapter 3 Development of Thinking Computer Systems and Machine
Learning in Health Care....................................................................37
Cherian Samuel
Chapter 4 Clinical Decision-Making as a Subset of Decision-Making:
Leveraging the Concepts of Decision-Making and
Knowledge Management to Characterize Clinical
Decision-Making...............................................................................47
Nalika Ulapane and Nilmini Wickramasinghe
Chapter 5 Leveraging Artificial Intelligence in a Human-Centric
Society 5.0: A Health Care Perspective...........................................63
Preeti Gupta, Sapna Sinha, and Ajay Rana
Chapter 6 Blockchain-Based Medical Records for the Health Care Industry...77
Vidha Sharma and Rajiva Ranjan Divivedi
Chapter 7 Blockchain with Corona Virus: Moving Together to
Prevent Future Pandemics.................................................................89
P M Srinivas, Supriya B Rao, Shailesh Shetty S, Shiji Abraham,
and Harisha
v
vi Contents
Chapter 8 Computer Assisted Health Care Framework for Breast
Cancer Detection in Digital Mammograms....................................101
Laxman Singh, Preeti Arora, Yaduvir Singh, Vinod M. Kapse,
and Sovers Singh Bisht
Chapter 9 Artificial Intelligence and Inpatients’ Risk Vulnerability
Assessment: Trends, Challenges, and Applications.......................117
Chinedu I. Ossai and Nilmini Wickramasinghe
Chapter 10 Internet of Healthcare Things (IoHT) and Blockchain:
An Efficient Integration for Smart Health Care Systems..............135
Laxman Singh, Ankit Kumar, and Yaduvir Singh
Chapter 11 Comparative Study of Machine Learning Techniques
for Breast Cancer Diagnosis...........................................................151
Laxman Singh, Sovers Singh Bisht, and V. K. Pandey
Chapter 12 Comparative Analysis and Experimental Study on
MQ Sensor Series............................................................................169
Prerna Sharma and Suman Madan
Chapter 13 Fine-Tuning of Recommender System Using
Artificial Intelligence.......................................................................183
Palveen Kaur, Sapna Sinha, Deepa Gupta, and Ajay Rana
Chapter 14 Deep Learning in Health Care........................................................197
Aditya Shantanu and Alka Chaudhary
Chapter 15 Ontology Learning-Based e-Health Care System..........................205
Alka Chaudhary and Himanshu Shekhar
Chapter 16 A New Method for OTP Generation..............................................213
Manoj Kumar Misra and S.P. Tripathi
Chapter 17 A Visual Introduction to Machine Learning,
AI Framework, and Architecture....................................................229
Preeti Arora, Saksham Gera, and Vinod M Kapse
Contents vii
Chapter 18 Evolution of Business Intelligence System: From
Ad-Hoc Report to Decision Support System to
Data Lake Based BI 3.0..................................................................255
Sapna Sinha, Arvind Panwar, Preeti Gupta, and Vishal
Bhatnagar
Chapter 19 Novel Deep-Learning Approaches for Future
Computing Applications and Services............................................271
Preeti Arora, Saksham Gera, and Vinod M Kapse
Index......................................................................................................................289
Preface
Greetings!
The health care sector is the main sector that needs innovations to ensure
wellbeing of the people. In the present scenario, where the whole world is
struggling to fight the deadly virus COVID-19, the effective solution found was
social distancing. Social distancing promotes digital health. Solving problems and
making optimal decisions in health care is heavily dependent on access to
knowledge. In today’s increasingly complex environment, it is rapidly becoming
essential for health care organizations to effectively manage both internal
knowledge and externally generated knowledge in order to provide the best
possible health care, achieve operational excellence, and foster innovation. A
well-organized and effective strategy for knowledge management in health care can
help organizations achieve these goals. Use of artificial intelligence (AI) and
machine learning (ML) in knowledge management is generally defined as the
process of capturing, developing, sharing, and effectively using knowledge.
Knowledge management efforts typically focus on strategic objectives such as
improved performance, competitive advantage, innovation, the sharing of lessons
learned, integration, and continuous improvement. Industrial Revolution 4.0 has
given rise to a new society known as Society 5.0, which is a technology-based,
human-centered society. It has driverless cars and new medical technology
providing cutting-edge medical services to patients at low cast anywhere, on an
anytime basis. Technology will play an important role in satisfying services and
enhanced human mobility.
Computational intelligence is needed to solve problems and make optimal
decisions in the health care sector. Decisions are highly dependent on internal and
external knowledge to achieve operational excellence and foster innovations. Use of
clinical decision support systems and advanced analytics tools are expected to
facilitate decision-making in the future.
Healthcare and Knowledge Management for Society 5.0: Trends, Issues, and
Innovations is an important book for understanding the latest trends and innovations
in the use of technology, like AI, computer vision, ML, cloud computing, and
blockchain, for knowledge management and health care. The book also aims to
provide a way of analyzing the historic changes taking place so that we can
collectively create an empowering and human-centric society in the future. The
reader will gain valuable insights for navigating the future using this
interesting book.
A brief overview of the chapters is as follows:
The book has a total of 19 chapters, The details of the chapters are as follows: A:
Chapter 1, offers an integrated analysis of emerging health care blockchain-based
technology and information software applications. In revolutionizing the medical
industry, it also shows the potential of blockchain technology. Blockchain is a
system that creates a secure, immutable, distributed transaction database. Initially,
blockchains were established to provide a distributed financial transaction ledger
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