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Studies in Fuzziness and Soft Computing Gonçalo Marques Akash Kumar Bhoi Isabel de la Torre Díez Begonya Garcia-Zapirain   Editors Enhanced Telemedicine and e-Health Advanced IoT Enabled Soft Computing Framework Studies in Fuzziness and Soft Computing Volume 410 SeriesEditor JanuszKacprzyk,SystemsResearchInstitute,PolishAcademyofSciences, Warsaw,Poland The series “Studies in Fuzziness and Soft Computing” contains publications on various topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks, evolutionary computation, probabilistic and evidential reasoning, multi-valuedlogic,andrelatedfields.Thepublicationswithin“StudiesinFuzziness and Soft Computing” are primarily monographs and edited volumes. They cover significant recent developments in the field, both of a foundational and applicable character. An important feature of the series is its short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results. IndexedbySCOPUS,DBLP,WTIFrankfurteG,zbMATH,SCImago. AllbookspublishedintheseriesaresubmittedforconsiderationinWebofScience. Moreinformationaboutthisseriesathttp://www.springer.com/series/2941 · · Gonçalo Marques Akash Kumar Bhoi · Isabel de la Torre Díez Begonya Garcia-Zapirain Editors Enhanced Telemedicine and e-Health Advanced IoT Enabled Soft Computing Framework Editors GonçaloMarques AkashKumarBhoi PolytechnicofCoimbra DepartmentofElectricalandElectronics ESTGOH Engineering RuaGeneralSantosCosta SikkimManipalInstituteofTechnology OliveiradoHospital,Coimbra,Portugal Majhitar,Sikkim,India IsabeldelaTorreDíez BegonyaGarcia-Zapirain UniversityofValladolid UniversidaddeDeusto Valladolid,Spain Bilbao,Vizcaya,Spain ISSN1434-9922 ISSN1860-0808 (electronic) StudiesinFuzzinessandSoftComputing ISBN978-3-030-70110-9 ISBN978-3-030-70111-6 (eBook) https://doi.org/10.1007/978-3-030-70111-6 ©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicensetoSpringerNature SwitzerlandAG2021 Thisworkissubjecttocopyright.AllrightsaresolelyandexclusivelylicensedbythePublisher,whether thewholeorpartofthematerialisconcerned,specificallytherightsoftranslation,reprinting,reuse ofillustrations,recitation,broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,and transmissionorinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilar ordissimilarmethodologynowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressedorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictional claimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface In recent years, several new applications on soft computing, artificial intelligence, Internet of Things and related computer-aided technologies for telemedicine have emerged.Therefore,itisessentialtocapturethisgrowingareaofresearch,consid- ering the requirements of enhanced telemedicine solutions regarding the current pandemicscenario.Thisbookaimstosynthesiserecentdevelopments,presentcase studiesanddiscussnovelmethodsforenhancedtelemedicineande-health. Numerous methods for enhanced data analysis are available in the literature. Furthermore,theuseofthesemethodsinthetelemedicinefieldisofutmostimpor- tance for public health. In particular, the Internet of Things systems can provide a continuousflowofdataretrievedfromcost-effectivesensorsandbeusedinmultiple healthcareapplications.However,totransformthisdataintoknowledge,itisneces- sarytoapplycomputer-aidedmethods.Theapplicationofthesemethodswillsignif- icantly promote people’s daily routine. Therefore, it is imperative to merge the recenttechnologicaladvancesonsoftcomputing,artificialintelligenceandInternet of Things to develop emergent applications that aim to solve complex challenges andcontributetooverallpublichealthandwell-being. The book presents the latest findings on how computer-aided technologies are being applied in telemedicine and e-health. The chapters of this book involve multipledomainssuchasartificialintelligenceandsoftcomputingtotransformthe datacollectedbyintelligentsystemstorelevantandreliableinformationtosupport medicaldecision-making. This volume is structured into three parts based on the critical areas of the application of telemedicine. The first part presents five chapters that focus on intelligent systems for enhanced telemedicine. The opportunities and limitations of telemedicine are analysed. The second part includes six chapters regarding the prominenceofInternetofThings-basedsystemsformedicaldecision-making.The third part contains reviews and case studies on the use of soft computing and arti- ficialintelligenceforenhancedhealth.Thissectionincludesfivechapterscovering machinelearningforhealthriskprediction,emotionrecognition,diseasediagnosis andprediction. Thecriticalproblemthatthisbookaddressisthatitpresentsasynthesisofthelatest methodsandtechnologiesforenhancedtelemedicine.Furthermore,thebookcontains v vi Preface comprehensive review chapters describing procedures and techniques, which are crucialtosupportresearchersinthefieldwhowanttoreplicatethesemethodologies in solving their related research problems. On the one hand, the review chapters includedsynthesisethelatestknowledgeinthedifferentsub-areasinthisfieldand serveasaguideforresearcherswhoneednewtopicstoworkonandwhowantto identifyknowledgegaps.Ontheotherhand,theincludedcasestudiespresentnovel approachesontheapplicationofcomputer-aidedmethodsforenhancedtelemedicine ande-health. Theincludedchaptersaimtoprovideanessentialbackgroundtosupportfuture research initiatives. The editors also have attempted to discuss the current trends and limitations related to the book’s scope. In total, 16 chapters are included in thisbook.Thechaptershavebeensubmittedbyresearcherslocatedin16different countries across the globe. These countries include Australia, Brazil, Colombia, Finland, Germany, India, Iraq, Malaysia, Nigeria, Portugal, Saudi Arabia, South Africa,Spain,Sweden,TurkeyandVietnam. Wewouldliketothankallthecontributorsfortheirtimelyandpositiveresponse tothereceived review comments. Moreover, weacknowledge theindividuals who havehelpedusinthisprojectinmultipleactivities.Finally,wearelikewisegratefulto SpringerPublishingTeam,inthepersonofDr.ThomasDitzinger,fortheircontinuous support and assistance since the beginning stage to the production of this edited volume. Theeditorshaveattemptedtotransmittothereaderthemostrecentadvancesand comprehensivereviewsonsoftcomputing,artificialintelligence,InternetofThings and related computer-aided technologies for telemedicine. Consequently, we hope tohelpfutureresearchactivitiesintelemedicineande-health.Thecontenthasbeen selectedtosupportnotonlyinpeoplefromacademicsorengineeringworldbutalso tobeusedbyhealthcareprofessionals. Coimbra,Portugal GonçaloMarques Majhitar,India AkashKumarBhoi Valladolid,Spain IsabeldelaTorreDíez Bilbao,Spain BegonyaGarcia-Zapirain Contents IntelligentSystemsforEnhancedTelemedicine ResearchChallengesandOpportunitiesTowardsaHolisticView ofTelemedicineSystems:ASystematicReview ....................... 3 TurkiAlelyani,AsadullahShaikh,AdelA.Sulaiman,YousefAsiri, HaniAlshahrani,andSultanAlmakdi Telemedicine in the Current New Normal: Opportunities andBarriers ...................................................... 27 MustafaDegerliandSevgiOzkan-Yildirim Teledentistry:ANewApproachinDentalMedicine ................... 41 AlbaPérezGonzález, MercedesGallasTorreira, CintiaM.ChamorroPetronacci,andMarioPérezSayáns Smart Management of Telemedicine Rooms in an e-Hospital EmergencyDepartment ............................................ 65 CamiloA.Cáceres-Flórez,JoãoM.Rosário,andDarioAmaya AnIoTCloudModelforDiabetes Home-Based Care: ACase StudyforPerceivedFutureFeasibility ............................... 99 YanHu,GuohuaBai,SaraEriksén,andJennyLundberg InternetofThingsforMedicalDecisionMaking IoT for Enhanced Decision-Making in Medical Information Systems:ASystematicReview ...................................... 119 PanteaKeikhosrokiani FromtheInternetofThingstoanInternetofServicesinHealthcare ... 141 KurtJ.G.SchmailzlandMichaelHuebner Machine Learning and Internet of Things for Smart Living: AComprehensiveReviewandAnalysis .............................. 155 M.S.RashmiBandara,MalkaN.Halgamuge,andGonçaloMarques vii viii Contents AutomatedDecentralizedIoTBasedBlockchainUsingEthereum SmartContractforHealthcare ..................................... 179 IstabraqM.Al-JobouryandEmadH.Al-Hemiary MIoT-Based Big Data Analytics Architecture, Opportunities andChallengesforEnhancedTelemedicineSystems .................. 199 JosephBamideleAwotunde, AbidemiEmmanuelAdeniyi, RoselineOluwaseunOgundokun, GbemisolaJanetAjamu, andPaulOlujideAdebayo AComprehensiveReviewontheChallengesforIntelligentSystems RelatedwithInternetofThingsforMedicalDecision ................. 221 AnalúciaSchiaffinoMorales, FabríciodeOliveiraOurique, andSilvioCésarCazella SoftComputingandArtificialIntelligenceforEnhancedHealth ArtificialIntelligenceandMachineLearningforHealthRisks Prediction ........................................................ 243 LukeOluwaseyeJoel,WesleyDoorsamy,andBabuSenaPaul Multimodal Deep Learning for Computer-Aided Detection andDiagnosisofCancer:TheoryandApplications ................... 267 AlanBaronioMenegottoandSilvioCesarCazella DiseasePredictionUsingArtificialIntelligence:ACaseStudy onEpilepticSeizurePrediction ..................................... 289 AbdulhamitSubasi A Novel Wrapper-Based Feature Selection for Heart Failure Prediction Using an Adaptive Particle Swarm Grey Wolf Optimization ...................................................... 315 TuanMinhLe,TanNhatPham,andSonVuTruongDao Affective Computing and Emotion-Sensing Technology forEmotionRecognitioninMoodDisorders ......................... 337 NidhiSinha Intelligent Systems for Enhanced Telemedicine

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