Table Of ContentEAI/Springer Innovations in Communication and Computing
Surbhi Bhatia · Ashutosh Kumar Dubey
Rita Chhikara · Poonam Chaudhary
Abhishek Kumar Editors
Intelligent
Healthcare
Applications of AI in eHealth
EAI/Springer Innovations in Communication
and Computing
SeriesEditor
ImrichChlamtac,EuropeanAllianceforInnovation,Ghent,Belgium
Editor’sNote
The impact of information technologies is creating a new world yet not fully
understood. The extent and speed of economic, life style and social changes
already perceived in everyday life is hard to estimate without understanding the
technological driving forces behind it. This series presents contributed volumes
featuringthelatestresearchanddevelopmentinthevariousinformationengineering
technologiesthatplayakeyroleinthisprocess.
The range of topics, focusing primarily on communications and computing
engineeringinclude,butarenotlimitedto,wirelessnetworks;mobilecommunica-
tion; design and learning; gaming; interaction; e-health and pervasive healthcare;
energy management; smart grids; internet of things; cognitive radio networks;
computation; cloud computing; ubiquitous connectivity, and in mode general
smart living, smart cities, Internet of Things and more. The series publishes a
combination of expanded papers selected from hosted and sponsored European
AllianceforInnovation(EAI)conferencesthatpresentcuttingedge,globalresearch
as well as provide new perspectives on traditional related engineering fields.
This content, complemented with open calls for contribution of book titles and
individual chapters, together maintain Springer’s and EAI’s high standards of
academic excellence. The audience for the books consists of researchers, industry
professionals, advanced level students as well as practitioners in related fields
of activity include information and communication specialists, security experts,
economists, urban planners, doctors, and in general representatives in all those
walksoflifeaffectedadcontributingtotheinformationrevolution.
Indexing:ThisseriesisindexedinScopus,EiCompendex,andzbMATH.
AboutEAI
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Moreinformationaboutthisseriesathttp://www.springer.com/series/15427
Surbhi Bhatia • Ashutosh Kumar Dubey
Rita Chhikara • Poonam Chaudhary
Abhishek Kumar
Editors
Intelligent Healthcare
Applications of AI in eHealth
Editors
SurbhiBhatia AshutoshKumarDubey
ComputerSciencesandInformation ComputerScienceandEngineering
Technology ChitkaraUniversity
KingFaisalUniversity Rajpura,Punjab,India
Alhasa,SaudiArabia
RitaChhikara PoonamChaudhary
ComputerScienceandEngineering ComputerScienceandEngineering
TheNorthCapUniversity TheNorthCapUniversity
Gurugram,Haryana,India Gurugram,Haryana,India
AbhishekKumar
ComputerScienceandEngineering
Department
ChitkaraUniversity
Rajpura,Punjab,India
ISSN2522-8595 ISSN2522-8609 (electronic)
EAI/SpringerInnovationsinCommunicationandComputing
ISBN978-3-030-67050-4 ISBN978-3-030-67051-1 (eBook)
https://doi.org/10.1007/978-3-030-67051-1
©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicensetoSpringerNatureSwitzerland
AG2021
Thisworkissubjecttocopyright.AllrightsaresolelyandexclusivelylicensedbythePublisher,whether
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Thisbookisdedicatedtoalltheeditorsand
theirfamilymembers.Withouttheirsupport
andcooperation,thisbookwouldnothave
becomeareality.
Preface
Thisbookisasmallyetsignificantsteptowardsexploringrecentadvances,dissem-
inating state-of-the-art techniques, and deploying novel technologies in intelligent
healthcareservicesandapplications.Itisideallydesignedformedicalprofessionals
and researchers. The book is divided into three parts, namely Medical Expert
Systems,MachineLearninginHealthcare,andCaseStudiesonRecentPandemic:
COVID19.
Theproliferationofhugedatasources(e.g.,genomes,electronichealthrecords
(EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial
intelligence applications have unlocked the doors for diagnosing and treating
multitudes of rare diseases. There is tremendous scope in the field of intelligent
healthcare, and this is evident from the fact that the WHO, in partnership with
theInternationalTelecommunicationUnion(ITU),haslaunchedaFocusGroupon
Artificial Intelligence in Health (FG-AI4H). The group’s objective is to establish
a standardized assessment framework for the evaluation of AI-based methods for
health,diagnosis,triage,ortreatmentdecisions.Economistshavefoundthatmedical
researchcanhaveanenormousimpactonhumanhealthandlongevity,andresearch
toidentifyandcurediseaseatearlystagesshouldbeencouraged.
In view of there being tremendous scope in future of intelligent systems for
healthcare, this book fosters a scientific debate for sophisticated approaches and
cognitive technologies (such as deep learning, machine learning, and advanced
analytics)forenhancedhealthcareservices.Thewidespreadadoptionofintelligent
health-based systems could help overcome challenges such as shortages of staff
and supplies, accessibility barriers, lack of awareness on certain health issues,
identification of patient needs, and early detection and diagnosis of illnesses,
creating the potential to accelerate new drug discovery, precision health, and
operationalsavings.
Although artificial intelligence revolutionized the healthcare management, it is
extremelydifficulttohandleanddeliverthebighealthdataanytimeandanywhere.
Withtheadventofbigdata,handlingofhumongousdatabecameapossibilityand
mobiledeviceshavemergedwithgreatpotentialtorenovatethehealthcareindustry
andprovidecost-effective,highquality,andmoreaccessiblehealthcare
vii
viii Preface
Health research has high value to society, and different approaches to research
providecomplementaryinsights.Healthresearchhasgrownexponentiallyoverthe
years and has led to significant discoveries, the development of new therapies,
and a remarkable improvement in healthcare and public health. However, with
new diseases like COVID-19 coming up now and then, the scope of research in
healthcare continues to be the requirement of the hour. Therefore, the healthcare
systems have to be upgraded with new capabilities in emerging areas such as
machinelearning,bigdata,andmobilecomputingforprovidingmankindwithmore
intelligentandprofessionalhealthcareservices.
In this book, various researchers have emphasized on the latest and potential
health-related topics medically and technologically also. It provides an in-depth
knowledge of the interdisciplinary area of healthcare research with more focus on
the recent pandemic of COVID-19 which has disrupted our lives and continues to
beathreat.
Alhasa,SaudiArabia SurbhiBhatia
Rajpura,Punjab,India AshutoshKumarDubey
Gurugram,Haryana,India RitaChhikara
Gurugram,Haryana,India PoonamChaudhary
Rajpura,Punjab,India AbhishekKumar
Acknowledgment
The editors would like to acknowledge all the authors for their contributions. We
presentoursinceregratitudetothosewhocontributedtheirtimeandexpertisetothis
book.Wealsowanttothankthereviewerswhotookpartinthereviewprocessand
gavetheirvaluablecommentstothecontributorstorefinetheirworkandadhereto
thequality,coherence,andcontentofthechapters.Withouttheirsupport,thisbook
wouldnothavebecomeareality.
ix
Contents
A Healthcare-Based Intelligent Monitoring Paradigm
inQuantumDotCellularAutomata(QCA)toProtectAgainst
NovelCoronaOutbreak......................................................... 1
SuparbaTapna
IntelligentHealthcare............................................................ 19
YogeshS.Kale,ShubhangiV.Rathkanthiwar,andPrachiD.Gawande
BigData........................................................................... 33
D.KarthikaandK.Kalaiselvi
ImplicationofStatisticalMethodsonPatientData:AnApproach
forCancerSurvivabilityPrediction............................................ 57
SudipMondal,NamrataBhattacharya,TroyeeDas,ZhumurGhosh,
andSunirmalKhatua
MachineLearningwithIoTandBigDatainHealthcare.................... 81
TasneemJahan
ModellingCovid-19:TransmissionDynamicsUsingMachine
LearningTechniques............................................................. 99
VijayKumar,JyotiChawla,RajeevKumar,andArtiSaxena
AnInnovativePandemicKnowledgebaseUsingMachineLearning ....... 109
AjantaDas,SameyaAshraf,andShubamPrasad
ReviewingClassificationMethodsonHealthCare........................... 127
DevvrathMalikandGeetikaMunjal
PredictingandManagingGlycemiaLevelsUsingAdvancedTime
SeriesForecastingMethods..................................................... 143
SahilMalhotraandRitaChhikara
MachineLearningApplicationsinAnti-cancerDrugDiscovery ........... 163
AmanSharmaandRinkleRani
xi
