Artificial intelligence and machine learning for COVID-19

272 Pages·2021·11.037 MB·English

by  Fadi Al-Turjman (editor)

Studies in Computational Intelligence 924
Fadi Al-Turjman  Editor
Artificial
Intelligence
and Machine
Learning
for COVID-19
Studies in Computational Intelligence
Volume 924
Series Editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
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Fadi Al-Turjman
Editor
Artificial Intelligence
and Machine Learning
for COVID-19
Editor
Fadi Al-Turjman
Professor and Research Center Director
Near East University
Nicosia, Mersin, Turkey
ISSN 1860-949X ISSN 1860-9503 (electronic)
Studies in Computational Intelligence
ISBN 978-3-030-60187-4 ISBN 978-3-030-60188-1 (eBook)
https://doi.org/10.1007/978-3-030-60188-1
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This book is dedicated to my great parents,
my wife, and my beloved ones, to honor their
major support and encouragement over the
course of my entire life. In this way, I wish to
express maybe a little part of my great
gratitude to them.
My mother, thank you very much for the
tender care you have been always giving.
Your delicious and tasty food is still in my
mouth. Great mother, words can never
express the deepest gratitude I have for you.
You have been there for me my whole life and
I love you so much. I mostly admire and love
you for the person you are.
My father, the greatest of the greatest. The
prophet of his age. Throughout his entire life,
he has made significant contributions not
only in my life, but in numerous other
people’s life. He received several honors for
his outstanding contributions in this life.
However, the most significant one, i believe,
was me :) Indeed, he is the brilliant teacher i
have ever seen. I owe him a lot, and I believe
his support was the key factor in any
achievement I have ever made. Thank you
very much great father for your sincere love.
vi
My wife, the lady of my life.. The one who
gives without limit. The most honest and
sincere person.. I appreciate your kind and
continues support during the most difficult
times in my life.. without you, this book
wouldn’t have seen the light. Also, I
shouldn’t forget my parents in law.. The ones
who gave me the parents tender when my
parents were far away overseas.. really
appreciate it.
My brother and sisters, the best friends in my
life.. the most support I ever have. Thanks for
everything.. especially for your beautiful and
truly “love”.
My little stars, the hope of my life and
beyond.. The reason for my hard work and
continues success.. I’m very thankful for
your gifted presence.
I love you all.
Fadi Al-Turjman
Preface
COVID-19, or Coronavirus Disease 2019, was firstly found in animals, and later it
has been transferred to humans. The primary source for the transmission of the dis-
ease, detection and treatment methods are still unknown. A lot of details about this
virus are still missing. Its spread, prevention measures and vaccination issues need
to be further investigated. In this field, artificial intelligence (AI) and cloud comput-
ing solutions can play a key role, especially the machine learning (ML) sub-field of
AI, which can be applied over distributed cloud systems because of its learning-
from- samples capability. The trend is to apply deep learning (DL), which is an
advanced form of ML techniques considering the advantages of more than one tech-
nique. However, complexity, accuracy, fidelity and other critical computing issues
are still a challenge. Current cloud-assisted infrastructure includes a number of
smart devices having the sensing and data analysis capabilities to allow updates
about epidemic diseases to be accessed anytime from anywhere. It has the potential
to provide innovative services which could not be possible without the progress
made in the cloud and Internet of Things (IoT) field. Owing to their advanced tech-
nical capabilities, intelligent computing paradigms are making the way into the
treatment and detection of COVID-19 and similar diseases. COVID-19 and similar
crisis reaction and coordination, open or private infrastructure control, coordination
or support to astute computing systems are a portion of the spaces in which intelli-
gent cloud systems may end up key in the medical diagnosis very soon. Moreover,
these computing infrastructures will turn into a critical component of the urban
monitoring and treatment systems. And thus, there exists a need for merging their
traditional usage that gathers data with the existing/forthcoming computing
technologies.
This book aims to provide an overview of original ongoing research attempts,
which contributes to the current state of the art by reporting results for the used ML
techniques in the problem scope of cloud-assisted COVID-19 and similar diagnosis.
It will shed light on potential cloud computing, big data, artificial intelligence, IoT
and other modern information processing technologies that can build the required
online and cost-efficient medical service platforms. These platforms will be able to
provide online services for people such as COVID-19 intelligent screening,
vii
viii Preface
characteristic symptom monitoring and screening, online consultation, drug distri-
bution, psychological consultation and epidemic prevention.
Hope you enjoy it.
Nicosia, Mersin, Turkey Fadi Al-Turjman
Contents
1 Smart Technologies for COVID-19: The Strategic
Approaches in Combating the Virus . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Bethel Chukwudi Okara and Fadi Al-Turjman
2 A Review on COVID-19 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Tanuj Bhatt, Vimal Kumar, Sagar Pande, Rahul Malik,
Aditya Khamparia, and Deepak Gupta
3 Artificial Intelligence in face of the Novel CoronaVirus . . . . . . . . . . . 43
Maram Arto and Fadi Al-Turjman
4 Digital Transformation and Emerging Technologies
for COVID-19 Pandemic: Social, Global,
and Industry Perspectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73
Adarsh Kumar and Kriti Sharma
5 A Deep Analysis and Prediction of COVID- 19 in India:
Using Ensemble Regression Approach . . . . . . . . . . . . . . . . . . . . . . . . . 97
Dimple Tiwari and Bhoopesh Singh Bhati
6 Image Enhancement in Healthcare Applications: A Review . . . . . . . . 111
Kamil Dimililer and Devrim Kayalı
7 Deep Learning Approach Using 3D-ImpCNN Classification
for Coronavirus Disease . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
Murugan Subramaniyan, Arumugam Sampathkumar,
Deepak Kumar Jain, Manikandan Ramachandran, Rizwan Patan,
and Ambeshwar Kumar
ix