Current and Future Trends in Health and Medical Informatics / (Record no. 21709)

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003 - CONTROL NUMBER IDENTIFIER
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251022100918.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231013s2023 sz a ob 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3031421124
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC30765494
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL30765494
035 ## - SYSTEM CONTROL NUMBER
System control number (PPN)272735078
035 ## - SYSTEM CONTROL NUMBER
System control number (CKB)28443972900041
035 ## - SYSTEM CONTROL NUMBER
System control number (EXLCZ)9928443972900041
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency AMIU
Modifying agency MiAaPQ
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number R858
Item number .C877 2023
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 610.285
Edition number 23
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 610.285
245 00 - TITLE STATEMENT
Title Current and Future Trends in Health and Medical Informatics /
Statement of responsibility, etc. Kevin Daimi, Abeer Alsadoon, and Sara Seabra Dos Reis, editors.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham, Switzerland :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland AG,
Date of production, publication, distribution, manufacture, or copyright notice [2023]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2023
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (379 pages)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence Series ;
Volume/sequential designation Volume 1112
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 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&amp -- 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.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 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?.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5 How Explainable Are the ML Methods for Work Disability Risk Prediction?.
583 ## - ACTION NOTE
Action Cataloging Notes:
Time/date of action 20251022
Action agent STAMIU-0199STAMIU-0199
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print version record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medical informatics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Daimi, Kevin,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Alsadoon, Abeer,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Seabra Dos Reis, Sara,
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Daimi, Kevin
Title Current and Future Trends in Health and Medical Informatics
Place, publisher, and date of publication Cham : Springer,c2023
International Standard Book Number 9783031421112
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in computational intelligence ;
Volume/sequential designation Volume 1112.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://buku.app/details/187609">https://buku.app/details/187609</a>
Link text https://buku.app/details/187609
Public note Access Online at BUKU
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a BOOK
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type eBook
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total Checkouts Full call number Date last seen Uniform Resource Identifier Price effective from Koha item type Public note
    Library of Congress Classification     Non-fiction AMREF INTERNATIONAL UNIVERSITY (AMIU) LIBRARY AMREF INTERNATIONAL UNIVERSITY (AMIU) LIBRARY General Stacks 22/10/2025   R858 .C877 2023 22/10/2025 https://buku.app/details/187609 22/10/2025 eBook Access Online at BUKU

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