Table Of ContentInternet of Things
Patrick Siarry · M.A. Jabbar
Rajanikanth Aluvalu · Ajith Abraham
Ana Madureira Editors
The Fusion
of Internet
of Things, Artificial
Intelligence, and
Cloud Computing in
Health Care
Internet of Things
Technology, Communications and Computing
Series Editors
Giancarlo Fortino, Rende (CS), Italy
Antonio Liotta, Edinburgh Napier University, School of Computing, Edinburgh,
UK
The series Internet of Things - Technologies, Communications and Computing
publishes new developments and advances in the various areas of the different facets
of the Internet of Things.
The intent is to cover technology (smart devices, wireless sensors, systems),
communications (networks and protocols) and computing (theory, middleware and
applications) of the Internet of Things, as embedded in the fields of engineering,
computer science, life sciences, as well as the methodologies behind them. The
series contains monographs, lecture notes and edited volumes in the Internet of
Things research and development area, spanning the areas of wireless sensor
networks, autonomic networking, network protocol, agent-based computing,
artificial intelligence, self organizing systems, multi-sensor data fusion, smart
objects, and hybrid intelligent systems.
** Indexing: Internet of Things is covered by Scopus and Ei-Compendex **
More information about this series at http://www.springer.com/series/11636
Patrick Siarry • M. A. Jabbar
Rajanikanth Aluvalu • Ajith Abraham
Ana Madureira
Editors
The Fusion of Internet
of Things, Artificial
Intelligence, and Cloud
Computing in Health Care
Editors
Patrick Siarry M. A. Jabbar
Université Paris-Est Créteil Vardhaman College of Engineering
Créteil, France Hyderabad, Telangana, India
Rajanikanth Aluvalu Ajith Abraham
Vardhaman College of Engineering Machine Intelligence Research Labs
Hyderabad, Telangana, India Auburn, Washington, USA
Ana Madureira
School of Engineering
Instituto Superior de Engenharia
Porto, Portugal
ISSN 2199-1073 ISSN 2199-1081 (electronic)
Internet of Things
ISBN 978-3-030-75219-4 ISBN 978-3-030-75220-0 (eBook)
https://doi.org/10.1007/978-3-030-75220-0
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature
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Introduction
The healthcare industry is one of the most advanced in implementing and adopting
emerging technology in some form. AI and cloud computing techniques, along with
IoT, are useful in analyzing imaging and genetic data to extract information from
clinical data. In many cases, IoT integrated with the cloud and AI will open new
paths to innovation and insight in the medical domain. The fusion of AI, IoT, and
cloud computing-based diagnostic systems will help doctors and medical practitio-
ners predict various diseases by improving the speed of diagnosis and accuracy.
This book is a collective reference that provides a collection of research on the
applications of IoT, cloud computing, and artificial intelligence in health care. This
book is ideally designed for medical professionals, researchers, academicians,
developers, and postgraduate students. The chapters presented in this book are
unique to this book and explore the applications of emerging technologies in the
healthcare domain.
The content is structured into 12 chapters, which are further classified into Part I
and Part II. Part I discusses the foundational concepts of IoT, cloud, and artificial
intelligence in health care. Part II covers the applications of IoT, cloud, and artificial
intelligence in tackling COVID-19 and other pandemic diseases.
Chapter 1 provides an Overview of the Medical Internet of Things, Artificial
Intelligence, and Cloud Computing Employed in Health Care from a Modern
Panorama. The connected IoMT device provides objective reports of the patient’s
actual activity, helping to monitor their behavior and activities outside the office,
allowing physicians to have real data of patient compliance and therapy
recommendations.
The authors highlight Healthcare Data Storage Options Using the Cloud in
Chap. 2. In this chapter, the healthcare data storage options on the cloud as well as
the security of healthcare data are described.
A Review on Classification and Retrieval of Biomedical Images Using Artificial
Intelligence is provided in Chap. 3. This chapter reviews the existing content-based
medical image retrieval systems and techniques used for feature extraction and
image classification.
v
vi Introduction
The Diagnosis of Breast Cancer by Malignant Changes in Buccal Epithelium
Using Artificial Intelligence, the Internet of Things, and Cloud Storage is discussed
in Chap. 4. The authors proposed a model to detect tumor-associated changes in the
fractal structure of chromatin in people with fibroadenomatosis and breast cancer.
Chapter 5 focuses on the Smart IoT Treatment: Making Medical Care More
Intelligent. This chapter explores a conceptual model for understanding the factors
determining patient satisfaction with the use of artificial intelligence in health care.
Chapter 6 highlights the Privacy and Security Concerns in IoT-Based Healthcare
Systems. This chapter proposes a framework for securing healthcare information on
the IoT-based platform. This chapter also demonstrates the architecture of the exten-
sive healthcare system based on IoT, the technological problems, and some standard
implementations relevant to comprehensive health care. Data safety, privacy, and
confidentiality are looked into IoT-based security and privacy in healthcare systems.
Chapter 7 explores IoT Healthcare Applications. With the use of IoT technology,
treatment and monitoring will be more precise and in proper order. This chapter
concludes with IoT applications that enable patients to access data and personalized
care and reduce visits to the hospital.
In Chap. 8 the authors examine a Tele Health Monitoring System in Rural Areas
through Primary Health Centers using IOT for COVID-19. The project was success-
fully implemented in Abdullapurmet village in Telangana State. A small handbook
was also created in the local language, Telugu, with a proper explanation of the
operation of all the devices.
Chapter 9 discusses the applications of Artificial Intelligence for Disease
Identification and Diagnosis. The chapter highlights the challenges of medical data
processing for detecting and diagnosing diseases. The challenges include small
datasets, missing data, and unbalanced datasets.
In Chap. 10 the authors propose a model for predicting epidemic outbreaks using
IOT, Artificial Intelligence, and the Cloud. These emerging technologies will play
an important role in fighting pandemic diseases.
Chapter 11 reviews Computational Intelligence Technologies for Tackling the
COVID-19 Pandemic. This chapter talks about the symptoms and prevention of
COVID-19. It also highlights the emerging technologies used to fight COVID-19.
IoT technology is used to integrate medical equipment with the internet and provide
remote treatment to infected patients, and many more technologies are highlighted.
Chapter 12 provides guidance on the role of artificial intelligence in healthcare
management and the challenge of the Coronavirus pandemic. A review of the litera-
ture was conducted on the applications of artificial intelligence to tackle pandemic
diseases like COVID-19.
Contents
Part I Internet of Things, Artificial Intelligence, and Cloud Computing
in Health Care
1 An Overview of Medical Internet of Things, Artificial Intelligence,
and Cloud Computing Employed in Health Care from a Modern
Panorama . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Ana Carolina Borges Monteiro, Reinaldo Padilha França,
Rangel Arthur, and Yuzo Iano
2 Healthcare Data Storage Options Using Cloud . . . . . . . . . . . . . . . . . . 25
Sandhya Armoogum and Patricia Khonje
3 A Review on Classification and Retrieval of Biomedical Images
Using Artificial Intelligence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
K. V. Greeshma and J. Viji Gripsy
4 Diagnosis of Breast Cancer by Malignant Changes in Buccal
Epithelium Using Artificial Intelligence, Internet of Things,
and Cloud Storage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
Dmitriy Klyushin, Kateryna Golubeva, Natalia Boroday,
and Dmytro Shervarly
5 Smart IoT Treatment: Making Medical Care More Intelligent . . . . . 87
Hena Iqbal and Udit Chawla
6 Privacy and Security Concerns in IoT- Based Healthcare Systems . . 105
Joseph Bamidele Awotunde, Rasheed Gbenga Jimoh,
Sakinat Oluwabukonla Folorunso, Emmanuel Abidemi Adeniyi,
Kazeem Moses Abiodun, and Oluwatobi Oluwaseyi Banjo
7 IoT Healthcare Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135
Sunitha Lingam
vii
viii Contents
Part II Fusion of Internet of Things, Artificial Intelligence, and Cloud
Computing in Tackling Pandemic Diseases
8 Tele Health Monitoring System in Rural Areas Through Primary
Health Center Using IOT for Covid-19 . . . . . . . . . . . . . . . . . . . . . . . . . 157
Vijayalaxmi Biradar and G. Durga Sukumar
9 Artificial Intelligence for Disease Identification and Diagnosis . . . . . 175
A. Lakshmi Muddana, Krishna Keerthi Chennam, and V. Revathi
10 Predicting Epidemic Outbreaks Using IOT, Artificial Intelligence
and Cloud . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197
S. Shitharth, Gouse Baig Mohammad, and K. Sangeetha
11 A Review of Computational Intelligence Technologies for Tackling
Covid-19 Pandemic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223
Anamika Rana and Sushma Malik
12 Exploring the Role of Artificial Intelligence in Healthcare
Management and the Challenge of Coronavirus Pandemic . . . . . . . . 243
Maryam Mohamed Zainal, Allam Hamdan, and Muneer Al Mubarak
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261
Part I
Internet of Things, Artificial Intelligence,
and Cloud Computing in Health Care
