Artificial Intelligence for the Internet of Health Things


Artificial Intelligence (AI) in the Healthcare DomainEvolution of AI in the Medical SectorUse of AI Devices for Clinical Data GenerationTypes of AI of Relevance to HealthcareNatural Language ProcessingRule-Based Expert SystemsPhysical RobotsRobotic Process AutomationAI-Based Applications in HealthcareAdministrative ApplicationsImplications for the Healthcare WorkforceEthical ImplicationsConclusionReferencesIntroductionIoT-Based Healthcare FrameworkCloud Computing for HealthcareIoT-Based Healthcare Services and ApplicationsIoT Healthcare ServicesThe Internet of m-Health ThingsAdverse Drug ReactionsCommunity HealthcareChildren’s Health InformationIoT Healthcare ApplicationsGlucose Level SensingElectrocardiogram MonitoringBlood Pressure MonitoringBody Temperature MonitoringCost AnalysisContinuous MonitoringIdentificationMobilityComponents in IoT-Based Healthcare ServicesWireless Technologies for IoTWeb Technologies for IoTConclusionReferencesAn Extensive Overview of Wearable Technologies in the Healthcare SectorIntroductionBackground InformationQuantified SelfWearable TechnologyAdvantages of Wearable TechnologyChallengesSustainabilityDigital DivideFailure RatesLack of Predictive ComparabilityPrivacy and SecurityTypical Wearable Devices With ApplicationsWearable Devices Used for General Health ManagementWearable Biosensors Revolutionizing In-Clinic/Hospital CareWearable Biosensors Revolutionizing Specific Fields of Healthcare Outside of the Hospital and ClinicRegulatory Oversight and Economic ImpactConclusionReferencesIoHT and Cloud-Based Disease Diagnosis Model Using Particle Swarm Optimization with Artificial Neural NetworksIntroductionThe Proposed ModelData CollectionPSO-ANN ModelANN ModelParameter Optimization of ANN Using PSOProposed Diagnostic ModelPerformance ValidationConclusionReferencesIoHT-Based Improved Grey Optimization with Support Vector Machine for Gastrointestinal Hemorrhage Detection and Diagnosis ModelIntroductionProposed MethodPreprocessingFeature Extraction Process Using NGLCMNGLCM-IGWO-SVM–Based ClassificationExperimental ValidationData Set UsedResults AnalysisConclusionReferencesAn Effective-Based Personalized Medicine Recommendation System Using an Ensemble of Extreme Learning Machine ModelIntroductionThe Proposed Medical Recommender SystemDatabase System ModuleData Preparation ModuleRecommendation Model ModuleModel Evaluation ModuleProposed Recommendation ModelExtreme Learning Machine (ELM)b-ELM ClassifierExperimental Results and DiscussionConclusionReferencesA Novel MapReduce- Based Hybrid Decision Tree with TFIDF Algorithm for Public Sentiment Mining of Diabetes MellitusIntroductionThe Proposed ModelData CollectionData Preprocessing and IntegrationData TokenizationGenerating and Removing Stop WordsDetecting Stop Words with SentiCirclesStemming and LemmatizationCorpus GenerationTaggingData Analysis StageMPHDT-T-Based Opinion MiningDecision Tree (DT)Term Frequency-Inverse Document Frequency (TFIDF)Performance ValidationConclusionReferencesIoHT with Artificial Intelligence–Based Breast Cancer Diagnosis ModelIntroductionRelated WorksThe Proposed ModelImage AcquisitionPreprocessingHFE ModelHomogeneityEnergyHOG FeaturesGA-SVM-Based ClassificationChromosome DesignFitness FunctionHybridization of the GA-SVM AlgorithmPerformance ValidationConclusionReferencesArtificial Intelligence with a Cloud-Based Medical Image Retrieval System Using a Deep Neural NetworkIntroductionThe Proposed DC-DNN ModelDLTerQEP-Based Texture Feature ExtractionCrest Line–Based Shape Feature ExtractionCurvature ApproximationCrest Point ClassificationCrest LinesEuclidean Distance–Based SimilarityDNN-Based ClassificationPerformance ValidationData Set UsedResults AnalysisConclusionReferencesIoHT with Cloud-Based Brain Tumor Detection Using Particle Swarm Optimization with Support Vector MachineIntroductionThe Proposed GLCM-PSO-SVM ModelPreprocessingFeature ExtractionPSO-SVM-Based ClassificationSVM ClassifierParameter Optimization of SVM Using the PSO AlgorithmExperimental AnalysisData Set DescriptionEvaluation MetricsResults AnalysisConclusionReferencesArtificial Intelligence-Based Hough Transform with an Adaptive Neuro-Fuzzy Inference System for a Diabetic Retinopathy Classification ModelIntroductionProposed MethodPreprocessingWatershed-Based SegmentationHough Transform–Based Feature ExtractionANFIS-Based ClassificationPerformance AnalysisResults AnalysisData Set DescriptionConclusionReferencesAn IoHT–Based Intelligent Skin Lesion Detection and Classification Model in Dermoscopic ImagesIntroductionThe SIFT-SVMBilateral Filtering–Based PreprocessingImage SegmentationFeature ExtractionDetect Scale-Space ExtremaLocalized Feature PointsAssignment of OrientationFeature Point DescriptorImage ClassificationPerformance ValidationData Set UsedResults AnalysisConclusionReferencesAn IoHT-Based Image Compression Model Using Modified Cuckoo Search Algorithm with Vector QuantizationIntroductionVector Quantization and LBG AlgorithmProposed MCS-LBG Algorithm–Based VQCS AlgorithmMCS AlgorithmWorking Process of MCS-LBG AlgorithmPerformance ValidationConclusionReferencesAn Effective Secure Medical Image Transmission Using Improved Particle Swarm Optimization and Wavelet TransformIntroductionThe IPSO-DWT MethodEmbedded ProcedureRepresentation of the Stego KeyEmbedded ProcessExtraction of the Secret MessageIPSO-Based Pixel Selection ProcessPerformance ValidationConclusionReferencesIoHT with Wearable Devices–Based Feature Extraction and a Deep Neural Networks Classification Model for Heart Disease DiagnosisIntroductionProposed ModelIoHT-Based Patient Data CollectionIoHT Medical Data PreprocessingHeart Feature ExtractionDNN for Data ClassificationTraining of LayersThe Stacked AutoencoderThe Softmax LayerPerformance ValidationConclusionReferences
 
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