Hybrid Artificial Intelligence and IoT in Healthcare (Intelligent Systems Reference Library, 209)

341 Pages·2021·8.343 MB·English

by  Akash Kumar Bhoi (editor), Pradeep Kumar Mallick (editor), Mihir Narayana Mohanty (editor), Victor Hugo C. de Albuquerque (editor)

Intelligent Systems Reference Library 209
Akash Kumar Bhoi
Pradeep Kumar Mallick
Mihir Narayana Mohanty
Victor Hugo C. de Albuquerque   Editors
Hybrid Artificial
Intelligence
and IoT in
Healthcare
Intelligent Systems Reference Library
Volume 209
SeriesEditors
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LakhmiC.Jain,KESInternational,Shoreham-by-Sea,UK
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avionics, business, e-commerce, environment, healthcare, physics and life science
are included. The list of topics spans all the areas of modern intelligent systems
such as: Ambient intelligence, Computational intelligence, Social intelligence,
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DNA and immunity-based systems, e-Learning and teaching, Human-centred
computing and Machine ethics, Intelligent control, Intelligent data analysis,
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· ·
Akash Kumar Bhoi Pradeep Kumar Mallick
·
Mihir Narayana Mohanty
Victor Hugo C. de Albuquerque
Editors
Hybrid Artificial Intelligence
and IoT in Healthcare
Editors
AkashKumarBhoi PradeepKumarMallick
DepartmentofComputerScience SchoolofComputerEngineering
andEngineering KalingaInstituteofIndustrialTechnology
SikkimManipalInstituteofTechnology DeemedtobeUniversity
(SMIT),SikkimManipalUniversity Bhubaneswar,Odisha,India
Majitar,Sikkim,India
VictorHugoC.deAlbuquerque
MihirNarayanaMohanty GraduateProgramonTeleinformatics
DepartmentofElectronics Engineering
andCommunicationEngineering FederalUniversityofCeará
Siksha‘O’Anusandhan(Deemedtobe Fortaleza,Brazil
University)
Bhubaneswar,Odisha,India
ISSN1868-4394 ISSN1868-4408 (electronic)
IntelligentSystemsReferenceLibrary
ISBN978-981-16-2971-6 ISBN978-981-16-2972-3 (eBook)
https://doi.org/10.1007/978-981-16-2972-3
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Preface
Hybrid artificial intelligence (AI) with bio-inspired techniques, genetic algorithm,
neuro-fuzzy algorithms and soft computing approaches significantly improves the
predictionofcriticalcardiovascularabnormalitiesandotherhealthcaresolutionsto
theongoingchallengingresearch.AIutilizesmeasurablemethodstoenablecomputer
frameworks to “learn” with approaching information and to distinguish examples
and settle on choices with negligible human bearing. The extent of conversation
ofthepotentialramificationsofAIandIoTinfuturehumanservicesispractically
boundless. This book intended tocover the applications for hybrid AI and IoTfor
anintegratedapproachandproblemsolvingintheareasofradiology,druginterac-
tions,creationofnewdrugs,imaging,electronichealthrecords,diseasediagnosis,
telehealthandmobility-relatedproblemsinhealthcare.
Chapter“HybridCloud/FogEnvironmentforHealthcare:AnExploratoryStudy,
Opportunities, Challenges, and Future Prospects” discusses the areas of applica-
bilityinhealthcaresystemsofhybridcloud/fogcomputing.Theseveralextraordinary
opportunitiesbroughtbythetechnologiesinthehealthcaresystemwithresearchchal-
lengesindeploymentarediscussed.Chapter“HybridIntelligentSystemforMedical
Diagnosis in Health Care” by Moolchand Sharma et al. focuses on the need for
a hybrid intelligent system in the healthcare industry and their medical diagnosis
applicability. Chapter “Remote Patient Monitoring Using IoT, Cloud Computing
andAI”illustratestheconceptofcloudandAI-basedIoTforremotehealthcaring.
It also discusses different decision-making systems using AI and the principle of
operation of several cloud infrastructures used to access secured medical records.
Chapter “An Analytical Study of the Role of M-IoT in Healthcare Domain” by
BidishaChandaetal.bringstolightseveralapplicationsofM-IoTinhealthcarein
measuringbodytemperature,monitoringbloodglucoselevel,ECG,etc.Theeffect
ofInternetofthingshasbeenevolvingineveryaspectofliving;however,theeffect
ithasatthehealthcareindustryismassivebecauseofitsgrowingneedandaccuracy.
Chapter“HybridAIandIoTApproachesUsedinHealthCareforPatientsDiagnosis”
proposestheAIWACemotioninteractionsystem,whichhasbeendesignedtobuild
v
vi Preface
thecognitivelow-powerwideareazone(LPWAN)andfurthertesttheproposedAI-
enabledLPWAhybridmethod.Chapter“RADIoT:TheUnifyingFrameworkforIoT,
RadiomicsandDeepLearningModeling”bySakinatOluwabukonlaFOLORUNSO
et al.discusses the different types and sources of radiological data, feature extrac-
tion and selection method for image analysis. The chapter also presents different
MLmodelsidealfortheradiomicsandparametertuning.Chapter“HybridArtificial
IntelligenceandIoTinHealthcareforCardiovascularPatientinDecision-Making
System” discusses on how to create an IoT device that collects body area sensor
(BAS) data with the intent of providing early warning about an imminent heart
arrest.
C.Aravindanetal.inthechapter“ASmartAssistiveSystemforVisuallyImpaired
toInformAcquaintanceUsingImageProcessing(ML)SupportedbyIoT”proposed
to provide a new interface support system for a visually impaired person to inde-
pendently handle everyday life activities like recognizing and greeting a friend
duringawalkinthestreet.Chapter“InternetofThingsinHealthCare:ASurvey”
by Ahmed Izzat Alsalibi et al. surveys current advances in IoT-based healthcare
focused in the aspects of privacy and security techniques, e-health and m-health,
systemdesignandarchitecture,cloud,fogandevolutionarycomputing,andnetwork
andcommunicationtechniques.Chapter“DiseaseDiagnosisSystemforIoT-Based
WearableBodySensorswithMachineLearningAlgorithm”proposesaframework
for IoT-WBN based with a machine learning algorithm (ML). The data collected
from different wearable sensors like body temperature, glucose sensors, heartbeat
sensors and chest were transmitted through IoT devices to the integrated cloud
database.Chapter“IntegrationofMachineLearningandIoTinHealthcareDomain”
discussesontheintegrationofmachinelearningandIoTinhealthcaredomain.The
combinationofthesetwotechnologiescanbeofgreathelpinclinicalsectorinthe
generation of a receptive and inter-related environment, thereby providing various
servicestohealthcarestaffsandpatients.AdrianaTrusculescuetal.inthechapter
,
“ManagingInterstitialLungDiseaseswithComputer-AidedVisualization”presented
flexible modeling of diffuse lung interstitial diseases (DLID), which is especially
important in Idiopathic pulmonary fibrosis (IPF), in which the accepted computer
tomographydiagnosiscriteriaallowextremelydiverseindividualvariations.Chapter
“UseofMachineLearningAlgorithmstoIdentifySleepPhasesStartingfromECG
Signals”byGiovannaSanninoandIvanoeDeFalcopresentstheidentificationofthe
differentsleepphasesasubjectisexperiencingbyusingheartratevariability(HRV)
values. These are computed starting from the signals gathered from electrocardio-
gram(ECG)sensorsplacedonthesubjectandonlineclassificationinanIoT-based
fully automated e-health system. Chapter “Emerging Technologies for Pandemic
and Its Impact” discusses about the emerging technologies for pandemic and its
impactandtheirremedieswiththelatesttechnologicaldevelopmentswhetheritisthe
security,tracking,IoT-basedhealthcaresystems,healthcareseminars,conferences,
etc.Finally,thechapter“ImpactofArtificialIntelligenceinHealthcare:AStudy”
presents the role of AI in this critical healthcare sector along with some popular
existingresearchworksinthehealthcaredomain.SoftwareprojectsinvolvingAIin
Preface vii
thissectorarealsosummarized,andareal-timeimplementationofmedicalimaging
usingdifferentcomputationalmethodsisdemonstrated.
Theeditorswishtothankalltheauthorswhohavecontributedtothisbookand
sincerelythanktheSpringer Natureeditorialandproduction teamfortheconstant
support.Wesendourbestwishestoourreaders!
Majitar,India AkashKumarBhoi
Bhubaneswar,India PradeepKumarMallick
Bhubaneswar,India MihirNarayanaMohanty
Fortaleza,Brazil VictorHugoC.deAlbuquerque
Contents
HybridCloud/FogEnvironmentforHealthcare:AnExploratory
Study,Opportunities,Challenges,andFutureProspects ............... 1
JosephBamideleAwotunde,AkashKumarBhoi,andPaoloBarsocchi
HybridIntelligentSystemforMedicalDiagnosisinHealthCare ....... 21
MoolchandSharma,AkankshaKochhar,DeepakGupta,andJafarAlZubi
RemotePatientMonitoringUsingIoT,CloudComputingandAI ...... 51
M.V.V.PrasadKantipudi, C.JohnMoses, RajanikanthAluvalu,
andSandeepKumar
AnAnalyticalStudyoftheRoleofM-IoTinHealthcareDomain ....... 75
BidishaChanda,PradeepKumarMallick,andGyoo-SooChae
HybridAIandIoTApproachesUsedinHealthCareforPatients
Diagnosis ......................................................... 97
ShrutiMathur,AkhileshKumarSharma,andPhayungMeesad
RADIoT:TheUnifyingFrameworkforIoT,RadiomicsandDeep
LearningModeling ................................................ 109
SakinatOluwabukonlaFolorunso, JosephBamideleAwotunde,
FemiEmmanuelAyo,andKhadijah-KhuburahAdebisiAbdullah
Hybrid Artificial Intelligence and IoT in Health care
forCardiovascularPatientinDecision-MakingSystem ................ 129
M.Safa,A.Pandian,T.Kartick,K.Chakrapani,G.Geetha,andG.Saranya
A Smart Assistive System for Visually Impaired to Inform
AcquaintanceUsingImageProcessing(ML)SupportedbyIoT ........ 149
C.Aravindan,R.Arthi,R.Kishankumar,V.Gokul,andS.Giridaran
InternetofThingsinHealthCare:ASurvey ......................... 165
AhmedIzzatAlsalibi, MohdKhaledYousefShambour,
MuhannadA.Abu-Hashem,MohammadShehab,andQusaiShambour
ix
x Contents
DiseaseDiagnosisSystemforIoT-BasedWearableBodySensors
withMachineLearningAlgorithm .................................. 201
JosephBamideleAwotunde, SakinatOluwabukonlaFolorunso,
AkashKumarBhoi,PaulOlujideAdebayo,andMuhammadFazalIjaz
IntegrationofMachineLearningandIoTinHealthcareDomain ....... 223
AnanyaChattopadhyay,SushrutaMishra,andAlfonsoGonzález-Briones
Managing Interstitial Lung Diseases with Computer-Aided
Visualization ...................................................... 245
AdrianaTrusculescu, LauraBroasca˘, VersaviaMariaAncusa,
, ,
DianaManolescu,EmanuelaTudorache,andCristianOancea
UseofMachineLearningAlgorithmstoIdentifySleepPhases
StartingfromECGSignals ......................................... 273
GiovannaSanninoandIvanoeDeFalco
EmergingTechnologiesforPandemicandItsImpact ................. 291
DineshKumarSaini, SandhiyaBala, AkhileshKumarSharma,
andKashifZia
ImpactofArtificialIntelligenceinHealthcare:AStudy ............... 311
DevyaniBairagya,HrudayaKumarTripathy,AkashKumarBhoi,
andPaoloBarsocchi