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Current and Future Trends in Health and Medical Informatics / / Kevin Daimi, Abeer Alsadoon, and Sara Seabra Dos Reis, editors
| Current and Future Trends in Health and Medical Informatics / / Kevin Daimi, Abeer Alsadoon, and Sara Seabra Dos Reis, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (379 pages) |
| Disciplina | 610.285 |
| Collana | Studies in Computational Intelligence Series |
| Soggetto topico | Medical informatics |
| ISBN | 3-031-42112-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Medical Imaging and 3D/4D Surgical Visualization -- Analysis of Brain Subregions by Segmentation of MRIs Using Improved BAT Optimization -- 1 Introduction -- 2 Related Work -- 3 Methods and Materials -- 3.1 Dataset -- 3.2 Image Preprocessing -- 3.3 Segmentation -- 3.4 Classification -- 4 Results and Discussion -- 5 Conclusions -- References -- Enhancing Medical Imaging with Computational Modeling for Aortic Valve Disease Intervention Planning -- 1 Introduction -- 1.1 Cardiovascular Disease -- 1.2 Aortic Valve Stenosis and Associated Cardiovascular Pathologies -- 2 Cardiovascular Imaging Techniques for Diagnosis and Intervention Planning -- 2.1 Echocardiography -- 2.2 Computed Tomography (CT) -- 2.3 Magnetic Resonance Imaging (MRI) -- 3 Intervention Planning and Post Operation Complications -- 3.1 Surgical and Minimally Invasive Options for Aortic Valve Intervention -- 3.2 Managing Complications Post-intervention -- 4 Computational Modeling -- 4.1 Cardiovascular Hemodynamic Modelling -- 4.2 Image Analysis, Geometry Reconstruction and Meshing -- 4.3 Personalized Computational Modelling -- 4.4 Artificial Intelligence and Machine Learning Application in Cardiovascular Pathophysiology -- 5 Challenges and Limitations of Computational Modeling -- 5.1 Accuracy and Validation Challenges -- 5.2 Limitations of Current Computational Models -- 6 Future Perspectives and Emerging Technologies -- References -- Construction of an Algorithm for Three-Dimensional Bone Segmentation from Images Obtained by Computational Tomography -- 1 Introduction -- 2 Background -- 3 Materials -- 4 Methodology, Results and Discussion -- 4.1 Morphological Study -- 4.2 Ground Truth Determination -- 4.3 Validation Metrics -- 4.4 Segmentation Based on Morphological Filters.
4.5 Segmentation by Active Contour Methods -- 4.6 3D Model -- 5 Conclusions -- References -- Healthcare/Medical Information Systems Supporting Patients and the Public -- Point-of-Care Devices in Healthcare: A Public Health Perspective -- 1 Introduction -- 2 Public Health Implications of POC -- 2.1 Patient Engagement and Health Literacy -- 2.2 Health Inequity -- 2.3 Detecting Undetected Conditions -- 2.4 Big Data Mining and Knowledge Discovery -- 2.5 Impact on Healthcare Systems and Health Promotion -- 3 Challenges and Limitations -- 3.1 Data Management and Integration -- 3.2 Transfer Protocols and Connectivity -- 3.3 Performance and Calibration -- 4 A Framework for POC Device Regulation -- 4.1 POC Assessment Factors -- 4.2 Lack of a Global Repository -- 4.3 Proposed Framework for POC Device Regulations -- 5 Conclusion -- References -- Digital Platforms to Support Feedback Processing in Aged Care Homes: Friend or Foe? -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Data Analysis -- 4.1 Participants -- 4.2 Applying Thematic Analysis -- 5 Discussion -- 6 Conclusion -- References -- State of Digital Health Communication Infrastructure in LMICs: Theory, Standards and Factors Affecting Their Implementation -- 1 Introduction -- 2 Literature Review -- 2.1 Current Practice of Standardisation by the Country's National Standardisation Bodies -- 2.2 Theory and Frameworks for Standardisation -- 3 Methods -- 4 Results -- 4.1 Demographics of Respondents -- 4.2 Standardisation Practice in Uganda -- 4.3 Factors Affecting Implementation of DHCI Standards in Uganda -- 5 Discussion -- 5.1 Practice of DHCI Standardisation in Uganda, an Example of Resource-Constrained Setting -- 5.2 Factors Affecting Implementation of DHCI Standards in Uganda -- 6 Conclusion -- References -- Management of Healthcare and Medical Information Systems. Unpacking Privacy Calculus and Interplay of Data Privacy and Healthcare: Paths Towards Safeguarding Patient Empowerment -- 1 Introduction -- 2 Understanding Patient Data and Its' Uses -- 2.1 Clinical Uses of Patient Data -- 2.2 Consumer Uses of Patient Data -- 2.3 Uses of Patient Data in Research and Analytics -- 3 Data Privacy Implications Centered Around Current Modern Healthcare Landscape -- 3.1 Impact of Big Data in Patient Empowerment and Improving Healthcare Management efficacy in Healthcare Ecosystem -- 3.2 Burgeoning Growth of Data Comes with Serious Privacy Threats -- 3.3 Major Data Privacy Implications Centered Around Current Modern Healthcare Landscape -- 4 Privacy Calculus: Impacts on Patient Empowerment and Healthcare Management -- 4.1 Privacy Calculus in Current Modern Healthcare Landscape -- 4.2 Privacy Calculus and Healthcare Management Efficacy -- 5 Healthcare Regulations to Address Privacy Calculus -- 5.1 Common Healthcare Regulations& -- Its Objectives -- 5.2 Impact of Healthcare Regulations in Addressing Privacy Calculus -- 6 Conclusion -- References -- Effects of Caregiver Support in the Adoption of Assistive Technologies for Online Patient Health Self-management -- 1 Introduction -- 2 Materials and Methods -- 2.1 Chronic Disease Self-Management -- 2.2 Model and Background Theory -- 2.3 Data Collection and Common Method Bias -- 3 Results -- 3.1 Internet-Panel Study Results -- 3.2 In-Person Study Results -- 3.3 Data Grouping -- 3.4 Individual Item and Construct Reliability Test -- 3.5 Model Analysis -- 4 Discussion -- 4.1 Analysis -- 4.2 Overall Model Assessment -- 4.3 Explanations -- 4.4 Conclusions -- 4.5 Future Research -- References -- Design and Analysis of Health/Medical Records -- Standards for Structure in Clinical Therapy -- 1 Case Conceptualisation -- 2 A Clinical Approach -- 2.1 Conceptual Foundations. 3 Dynamic Modelling -- 4 Application of Methods -- 5 Discussion -- 6 Conclusion -- References -- Obstetric Ultrasound Modelling and Analysis with Fractal Interpolation Methods -- 1 Introduction -- 2 Iterated Function System -- 3 Fractal Interpolation Functions -- 3.1 Affine Fractal Interpolation Functions -- 3.2 Piecewise Affine Fractal Interpolation Functions -- 3.3 Affine Fractal Interpolation Curves -- 3.4 The Fractal Dimension of an AFIC -- 4 Application to Medical Imaging -- 5 Conclusions -- References -- Healthcare/Medical Networking and Care Sharing -- Predicting the Relationship Between Meal Frequency and Type 2 Diabetes: Empirical Study Using Machine and Deep Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Relationship Between Meal Frequency and Diabetes -- 2.2 Machine Learning Model Selection -- 2.3 Predictor Selection -- 3 Method -- 3.1 Data Collection -- 3.2 Data Pre-possessing -- 3.3 Feature Selection -- 3.4 Data Cleaning -- 3.5 Model Algorithm Selection -- 3.6 Evaluation -- 4 Result and Discussion -- 4.1 Baseline Characteristic -- 4.2 Model Accuracy -- 4.3 Importance of Meal Frequency -- 4.4 Meal Frequency with Late-night-dinner Eating -- 5 Limitations -- 6 Conclusion and Future Works -- References -- Healthcare/Medical Data Representation and Analysis -- Non-stationary Intrinsic Feature Assessment of Health/Medical Data Representation - Blood Pulse Signal for Example -- 1 Background -- 2 Morphology Assessment -- 3 Intrinsic Feature Representation -- 4 Spectral Assessment -- 5 Adaptive Spectral Assessment -- 6 Multi-Dimensional Assessment -- 7 Conclusion -- References -- Federated Learning: An Alternative Approach to Improving Medical Data Privacy and Security -- 1 Introduction -- 2 Literature Review -- 2.1 Medical Data: Definition, Sources, and Stakeholders in Data-Sharing. 2.2 Challenges to Accessing Medical Data for Predictive Modelling -- 2.3 Existing Data Protection Approaches -- 3 Emerging AI-Based Solution: Federated Learning -- 3.1 Applications in Healthcare -- 3.2 Benefits of Federated Learning -- 3.3 Challenges of Federated Learning -- 3.4 Types of Federated Learning Algorithms -- 3.5 Federated Learning Literature Review Summary -- 4 Conclusion -- References -- Simulation and Modelling in Healthcare -- Analysis and Application of Regression Models to ICU Patient Monitoring -- 1 Introduction -- 2 Related Work -- 3 Materials -- 4 Methods -- 4.1 Research Framework -- 4.2 Preprocesing -- 4.3 Regression Models -- 4.4 Results -- 5 Experimental Methodology -- 6 Results and Discussion -- 6.1 Results -- 6.2 Discussion -- 7 Conclusions -- References -- Total Hip Arthroplasty Modelling and Load Simulation, in COMSOL Multiphysics -- 1 Introduction -- 1.1 Anatomy and Biomechanics of the Hip Joint -- 1.2 Uncemented Prosthesis -- 1.3 Distribution of Forces on the Femur -- 1.4 Biomaterials -- 1.5 Finite Element Method-COMSOL Multiphysics -- 2 Methodology -- 2.1 Geometry -- 2.2 Material Properties -- 2.3 Physical Interface-Solid Mechanics -- 2.4 Computational Mesh -- 2.5 Studies Performed -- 3 Results and Discussion -- 3.1 Stationary Stress Studies -- 3.2 Stationary Strain and Deformation Studies -- 3.3 Dynamic Studies -- 4 Conclusion -- References -- Health and Medical Informatics Education -- Work Disability Risk Prediction Using Machine Learning -- 1 Introduction -- 2 What Are the Stakeholders in the Work Disability Risk Prediction? -- 3 How Work Disability Risk Can Be Predicted Using Machine Learning? -- 3.1 Data -- 3.2 MHealth -- 3.3 MPension -- 3.4 Comparison of MHealth and MPension -- 4 What Are the Aspects of Ethical AI in the Work Disability Risk Prediction?. 5 How Explainable Are the ML Methods for Work Disability Risk Prediction?. |
| Record Nr. | UNINA-9910746962403321 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cutting Edge Applications of Computational Intelligence Tools and Techniques
| Cutting Edge Applications of Computational Intelligence Tools and Techniques |
| Autore | Daimi Kevin |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (355 pages) |
| Altri autori (Persone) |
AlsadoonAbeer
CoelhoLuis |
| Collana | Studies in Computational Intelligence Series |
| ISBN | 3-031-44127-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- CI in Human-Machine Interaction -- Brain-Computer Interfaces: High-Tech Race to Merge Minds and Machines -- 1 Introduction -- 1.1 History of BCIs -- 2 Science of BCIs -- 3 Technology of BCIs -- 4 Ethics of BCIs -- 5 Application of BCIs -- 6 Discussion -- 7 Conclusion -- References -- Using Artificial Neural Networks to Predict Critical Displacement and Stress Values in the Proximal Femur for Distinct Geometries and Load Cases -- 1 Introduction -- 2 Materials and Methods -- 2.1 Neural Networks -- 2.2 Problem Summary -- 2.3 Data Gathering -- 2.4 Neural Network Architecture -- 3 Results and Discussion -- 4 Conclusion -- References -- An Integrated Model for Automated Identification and Learning of Conversational Gestures in Human-Robot Interaction -- 1 Introduction -- 2 Background and Fundamentals -- 2.1 Gesture -- 2.2 Petri Net -- 2.3 Synchronization in Gesture Motions and Speech -- 2.4 Models for Deep Learning -- 2.5 Conceptual Dependency Analysis -- 3 Conversational Gestures Classifications -- 3.1 Discourse Based Gesture Classification by Cognitive Psychologists -- 3.2 Extending Deictic Gestures Subclassification -- 3.3 Extending Iconic Gestures Subclassification -- 3.4 Extending Conversational Classification for Integrated Computational Analysis -- 4 Gesture Recognition Approaches -- 4.1 Data Collection and Analysis -- 4.2 Machine and Deep Learning Based Gesture Classification -- 4.3 Automated Learning by Mimicking -- 5 Synchronous Colored Petri Net (SCPN) Model -- 5.1 Modeling Composite Synchronized Motions -- 5.2 Signature of a Gesture -- 6 Conversational Gesture Recognition Using SCPN -- 6.1 Recognizing Conversational Head-Gestures -- 6.2 Recognizing Deictic Gestures -- 6.3 Recognizing Iconic Gestures-Contour Segment Pattern (CSP) Analysis.
6.4 Ambiguity Resolution Using Decision Trees -- 7 Limitations and Future Work -- 8 Conclusion -- References -- Computational Intelligence Methods for User Matching -- 1 Introduction -- 2 Efficiency and Effectiveness of User Matching -- 2.1 Efficiency -- 2.2 Effectiveness -- 3 The Process of User Matching -- 3.1 Pre-filtering -- 3.2 User's Similarity with Spatiotemporal Awareness -- 3.3 User Matching -- 4 Other Models for User Matching -- 4.1 Based on Username and Display Name -- 4.2 Based on User Friendship -- 4.3 Based on User Generated Content -- 5 Challenges and Future of User Matching -- 6 Conclusion -- References -- CI in Robotics and Automation -- ATIAS: A Model for Understanding Intentions to Use AI Technology -- 1 Introduction -- 2 Background and Theoretical Foundation -- 2.1 Trust and Its Components -- 2.2 Trust in Human-Machine Interaction (HMI) -- 2.3 Technology Acceptance Model -- 2.4 ATIAS Components -- 3 Research Method -- 3.1 Research Design -- 3.2 Research Questions and Hypotheses -- 3.3 Measurement Development -- 4 Findings -- 5 Discussion -- 5.1 Interpretation of the Findings and Research Question -- 5.2 Limitations and Next Steps -- Appendix -- Definition of Key Terms -- References -- Electronics Engineering Perspectives on Computer Vision Applications: An Overview of Techniques, Sub-areas, Advancements and Future Challenges -- 1 Introduction -- 1.1 History (Key Events) -- 1.2 Computer Vision Main Tasks -- 2 Key Techniques and Algorithms in Computer Vision -- 2.1 Key Techniques -- 2.2 Key Algorithms -- 3 Main Sub-areas of Computer Vision -- 3.1 Image Classification -- 3.2 Object Detection -- 3.3 Image Semantic Segmentation -- 4 Application Scenarios -- 4.1 Autonomous Driving -- 4.2 Medical Diagnosis -- 4.3 UAV Monitoring -- 4.4 Face Recognition -- 5 Future Trends and Challenges -- 6 Conclusions -- References. CI in Manufacturing, Engineering, and Industry -- Feature Importance Study for Biogas Production from POME Treatment Plants Using Out-of-Bag Permutation -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Convolutional Neural Networks for Part Orientation in Additive Manufacturing -- 1 Introduction -- 2 State of the Art of Related Works -- 2.1 Part Orientation -- 2.2 Convolutional Neural Network -- 3 The Method -- 3.1 Regression Task -- 4 The Datasets -- 5 Results -- 5.1 Regression Task -- 5.2 Classification Task -- 5.3 Analysis of the Results -- 6 Conclusions -- References -- CI in Recognition and Processing -- SINATRA: A Music Genre Classifier Based on Clustering and Graph Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Genre Classification Based on Song's Audio Signals -- 2.2 Genre Classification Based on Song's Metadata -- 3 Description of the SINATRA Framework -- 3.1 Training of the Classifier -- 3.2 Production Stage -- 4 Evaluation of SINATRA -- 4.1 Dataset Description -- 4.2 Exploratory Analysis -- 4.3 Generation of the Core Genres -- 4.4 Generation of the CG-KNN Instance -- 4.5 Evaluation Metric -- 4.6 Evaluation Parameters -- 4.7 Result Discussion -- 4.8 Classification Examples -- 5 Conclusion and Future Work -- References -- Towards an Enhanced and Lightweight Face Authentication System -- 1 Introduction -- 2 Method 1: A Dual-Task Relation Regulated Unified System -- 2.1 Background -- 2.2 Formulation of the Relationship Between Two-Tasks -- 2.3 Design of Loss and Training Strategy -- 2.4 Experiments and Discussion -- 3 Method 2: A Multi-teacher Assisted Multi-task Learning Framework -- 3.1 Experiments and Discussion -- 4 Conclusion -- References -- CI in Finance, Business, Economics and Education. Conceptual Intelligence, Digital Transformation, and Leadership Skills: Key Concepts for Modern Business Success -- 1 Introduction -- 1.1 Digital Transformation -- 1.2 Conceptual Intelligence -- 1.3 Leadership Skills for Digital Transformation -- 2 Digital Transformation -- 2.1 Improved Operational Efficiency -- 2.2 Enhanced Customer Experience -- 2.3 Increased Revenue -- 2.4 New Growth Opportunities -- 3 Leadership Skills -- 3.1 Visionary Leadership -- 3.2 Change Management -- 3.3 Digital Literacy -- 3.4 Data-Driven Decision-Making -- 3.5 Collaborative Leadership -- 3.6 Agility and Innovation -- 4 Advantages and Possibilities for Leaders with Excellent Digital Literacy -- 5 Leaders -- Then Versus Now -- 6 Digital Leaders with Academic Excellence Versus, Digital Leaders with Digital Hands-on Experience -- 6.1 Digital Leaders with Academic Excellence -- 6.2 Digital Leaders with Hands-on Digital Skills -- 6.3 Comparing Digital Leaders with Academic Excellence and Hands-on Digital Skills -- 7 Conclusion -- References -- GEMM-SaFIN(FRIE)++: Explainable Artificial Intelligence Visualisation System with Episodic Memory -- 1 Introduction -- 2 Architecture of GEMM-SaFIN(FRIE)++ -- 2.1 Overall Architecture -- 2.2 Self-Learning Rule Generation -- 2.3 Computation of Rule Activation -- 2.4 Rules Obsoletion -- 2.5 GEMM Mechanism -- 3 Explainable AI Visualization System for GEMM-SaFIN(FRIE)++ -- 3.1 Development Process -- 3.2 GUI of Explainable AI Visualization System -- 3.3 Features of Interpolation/Extrapolation -- 3.4 Merging of Membership Functions -- 3.5 Deletion of Rules -- 3.6 Neuro-fuzzy Network in Explainable AI Visualization System -- 3.7 Animating Activation of Rules in Explainable AI Visualization System -- 4 Experimental Analysis and Benchmarking -- 4.1 Experiments by Nakanishi Dataset -- 4.2 Event Detection of Stock Market Crisis. 5 Conclusions and Future Work -- References -- CI in Vehicles, Smart Cities/Energy, and Networking -- Traffic Sign Recognition Robustness in Autonomous Vehicles Under Physical Adversarial Attacks -- 1 Introduction -- 2 Traffic Signs Recognition in Autonomous Vehicles -- 3 Adversarial Attacks in Computer Vision -- 4 Towards Attacking Traffic Signs Recognition Systems -- 5 Experimental Study -- 6 Discussion -- 7 Conclusion -- References -- Computational Intelligence in Smart Cities and Smart Energy Systems -- 1 Introduction -- 2 Margin Setting Algorithm -- 3 Smart Cities Application: Human Activity Recognition -- 4 Smart Energy Systems Application: False Data Injection Detection -- 5 Conclusion -- References -- Ontology-Based Similarity Estimates for Fuzzy Data: Semantic Wiki Approach -- 1 Introduction -- 2 Classification of Non-classical Data Types -- 3 Problem Definition -- 4 Taxonomy of NCD -- 5 Methods of NCD Processing -- 6 Semantic Similarity Estimations of Data -- 7 Dirty Data and Semantic Wikis -- 8 Conclusion -- References. |
| Record Nr. | UNINA-9910768174503321 |
Daimi Kevin
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||