The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care PDF
Preview The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care
Internet 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 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 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
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