Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ :
John Wiley & Sons, Inc
[2024]
|
| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009852333506719 |
Tabla de Contenidos:
- Cover
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- Part 1: Basic Fundamentals and Principles
- Chapter 1 Introduction to Smart Hospital
- 1.1 Introduction
- 1.1.1 Aspects That Make Up Intelligent Hospitals
- 1.1.2 Advantages That Smart Hospitals Offer
- 1.1.3 Hierarchical Structure of Smart Hospital
- 1.1.4 Smart Hospital Management System
- 1.2 Conclusion
- 1.3 Demerits of Smart Hospitals
- References
- Chapter 2 Wireless Medical Sensor Networks in Smart Hospitals
- 2.1 Introduction
- 2.2 Wireless Sensor Network
- 2.3 Application in Healthcare
- 2.3.1 Patient Monitoring
- 2.3.1.1 Heart Rate Monitoring
- 2.3.1.2 Blood Pressure Monitoring
- 2.3.1.3 Body Temperature Monitoring
- 2.3.1.4 Respiratory Rate Monitoring
- 2.3.2 Telemedicine
- 2.3.2.1 Environmental Monitoring
- 2.3.2.2 Temperature and Humidity Control
- 2.3.2.3 Rehabilitation Monitoring
- 2.3.2.4 Emergency Response System (ERS)
- 2.3.2.5 Clinical Trials and Response
- 2.4 Benefits
- 2.5 Technical Challenges
- 2.6 Conclusion
- References
- Chapter 3 Introduction of DNA Computing in Cryptography
- 3.1 Introduction
- 3.1.1 Cryptography Key Management
- 3.2 Steganography
- 3.3 Related Work on DNA
- 3.4 DNA Computing
- 3.5 Essence of DNA Computing
- 3.6 Role of DNA Computing in Cryptography
- 3.7 Applications of DNA Computing
- 3.7.1 Steganography Using DNA
- 3.7.2 Chip Technology Using DNA
- 3.8 Related Work on DNA-Based Cryptography (Document)
- 3.9 Limitations
- 3.10 Cryptography Methods Based on DNA
- 3.11 Experimental Analysis
- 3.12 Conclusions and Future Work
- References
- Part 2: Methods and Applications
- Chapter 4 Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification
- 4.1 Introduction
- 4.2 Literature Review
- 4.3 Existing System.
- 4.3.1 Drawbacks
- 4.3.1.1 Complexity and Expertise Dependency
- 4.3.1.2 Technological Hurdles
- 4.3.1.3 Performance and Verification
- 4.3.2 Input Data
- 4.4 Proposed System
- 4.4.1 Streamlined Expertise Requirements
- 4.4.2 Scalable Technology Implementation
- 4.4.3 Robust Performance and Validation
- 4.4.4 Advantages
- 4.4.4.1 Enhanced Accessibility
- 4.4.4.2 Improved Scalability
- 4.4.4.3 Consistently Reliable Performance
- 4.4.5 Proposed Algorithm Steps
- 4.5 Experimental Results
- 4.5.1 Performance Evaluation Methods
- 4.5.1.1 Accuracy
- 4.5.1.2 Precision
- 4.5.1.3 Recall
- 4.5.1.4 Sensitivity
- 4.5.1.5 Specificity
- 4.5.1.6 F1 Score
- 4.5.1.7 Area Under Curve (AUC)
- 4.5.1.8 Convolutional Neural Network (CNN) Architecture
- 4.5.1.9 Model Training and Validation
- 4.5.1.10 Data Augmentation and Regularization
- 4.5.1.11 Performance Metrics
- 4.6 Conclusion
- Conflicts of Interest
- References
- Chapter 5 Machine Learning-Enabled Digital Twins for Diagnostic and Therapeutic Purposes
- 5.1 Introduction
- 5.2 Conceptualization of Digital Twin and Machine Learning
- 5.2.1 Digital Twins
- 5.2.1.1 Working With the Digital Twins
- 5.2.2 Machine Learning
- 5.2.2.1 Deep Learning
- 5.2.2.2 Reinforcement Learning
- 5.3 State-of-the-Art Works
- 5.4 Applications of Digital Twins Enabled With Deep Learning Models and Reinforcement Learning
- 5.5 Limitations and Challenges
- 5.6 Opportunities/Future Scope
- 5.7 Concluding Remarks
- References
- Chapter 6 Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals
- 6.1 Introduction
- 6.2 Smart Hospitals
- 6.2.1 Key Technologies in Smart Hospital Environments
- 6.2.1.1 Internet of Things (IoT)
- 6.2.1.2 Artificial Intelligence (AI)
- 6.2.1.3 Big Data Analytics
- 6.2.1.4 Interoperable Systems.
- 6.2.2 Challenges and Opportunities in Implementing Smart Hospital Solutions
- 6.3 Foundations of Blockchain Technology
- 6.4 Literature Survey
- 6.5 Integration of Blockchain in Healthcare
- 6.5.1 Use Cases of Blockchain in Healthcare
- 6.5.2 Improving Data Interoperability and Integrity
- 6.5.3 Enhancing Security and Privacy in Healthcare Transactions
- 6.6 Digital Twin Technology in Smart Hospitals
- 6.6.1 Applications of Digital Twins in Healthcare
- 6.6.2 Synergies Between Blockchain and Digital Twin Technologies
- 6.7 Benefits and Challenges
- 6.7.1 Benefits
- 6.7.2 Challenges and Considerations
- 6.8 Building A Connected Ecosystem
- 6.8.1 Role of Blockchain in Creating A Connected Healthcare Ecosystem
- 6.8.2 Interoperability and Data Exchange in Smart Hospitals
- 6.8.3 Collaborative Approaches for Ecosystem Development
- 6.9 Regulatory Considerations
- 6.9.1 Compliance and Legal Aspects in Implementing Blockchain in Healthcare
- 6.9.2 Future Regulatory Trends and Implications
- 6.10 Case Study
- 6.11 Future Trends and Innovation
- 6.12 Conclusion
- References
- Chapter 7 Blockchain for Edge Association in Digital Twin Empowered 6G Networks
- 7.1 Introduction
- 7.1.1 Background and Motivation
- 7.1.2 Scope
- 7.2 Digital Twin Technology
- 7.2.1 Fundamentals
- 7.2.2 Utilization in 6G Networks
- 7.2.3 Obstacles and Opportunities
- 7.3 Edge Computing in 6G Networks
- 7.3.1 Edge Computing - An Overview
- 7.3.2 Edge Computing's Significance in 6G Networks
- 7.3.3 Opportunities
- 7.4 The Blockchain Technology
- 7.4.1 Essential Elements of Blockchain
- 7.4.2 Blockchain Use Cases in Telecommunications
- 7.4.3 Edge Association in 6G Networks - An Initiative
- 7.5 Blockchain, Digital Twin, and Edge Computing Integration
- 7.5.1 Theoretical Framework
- 7.5.2 Schematic Requirements.
- 7.5.3 Construction Challenges and Solutions
- 7.6 Case Studies from Multiple Domains
- 7.6.1 Intelligent Urban Infrastructure and Smart Cities
- 7.6.2 Industrial IoT and Production
- 7.6.3 Telemedicine and Healthcare
- 7.7 Prospects for Future Directions and Research
- 7.7.1 Evolving Trends in 6G Networks
- 7.7.2 Research Gaps and Opportunities for Improvement
- References
- Chapter 8 Blockchain for Security and Privacy in the Smart Healthcare
- 8.1 Brief Overview of Medical Records and Their Confidentiality
- 8.1.1 Medical Records
- 8.1.2 Patient-Centered Network Design
- 8.1.3 Significance of Clinical-Care Data
- 8.1.4 Discretion
- 8.1.5 Overview Regarding the Safety of Medical Records
- 8.2 Basics of Blockchain Technology
- 8.3 Benefits of BC Regarding the Protection of Medical Data
- 8.4 Principles of Using Blockchain for Medical Records
- 8.5 IAM on the Blockchain
- 8.6 Encrypted Medical Information Exchange via Blockchain
- 8.6.1 Protected Information and Better Safety
- 8.6.2 Cooperation and the Efficient Transfer of Data
- 8.7 Insurance User Intelligence and Power in Blockchain-Enabled Services
- 8.8 Governmental and Moral Thoughts
- 8.9 Selected Experiences and Recommended Approaches
- 8.9.1 Exploring Real-World Situations: A Global View
- 8.9.2 Exemplary Methods
- 8.10 Prospects and Hurdles in Advancing Blockchain-Based Health Record Security
- 8.10.1 Forthcoming Steps
- 8.10.2 Difficulties in Implementing BC
- 8.11 Conclusion and Future Prospects
- References
- Chapter 9 Conceptual and Empirical Evidence for the Implementation of Blockchain Technology as a Solution for Healthcare Service Providers in India
- Introduction
- Review of Literature
- Research Objectives
- Scope of the Study
- Research Design
- Sample Size Determination for Unknown Populations
- Tools Applied
- Analysis of data.
- Challenges
- The Future of Healthcare with Blockchain
- Conclusion
- Scope for Future Study
- Acknowledgments
- References
- Annexures
- Chapter 10 Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sectors
- 10.1 Introduction
- 10.2 Various Applications of Blockchain and Internet of Things in Healthcare and Biomedical Sectors
- 10.3 Internet of Things Supported Blockchain Platforms in Healthcare and Biomedical Sectors
- 10.4 Blockchain Technology for Healthcare and Biomedical Sectors
- 10.5 Storage Capacity and Scalability for Electronic Health Records (EHR)
- 10.6 Security Issues in Healthcare and Biomedical Sectors: Weaknesses and Threats in Blockchain-Based Internet of Things
- 10.7 Privacy Issues in Healthcare and Biomedical Sectors: Weaknesses and Threats in Blockchain-Based Internet of Things
- 10.8 Trust Issue in Healthcare and Biomedical Sectors: Weaknesses and Threats in Blockchain-Based Internet of Things
- 10.9 Other Issues Healthcare and Biomedical Sectors Rather than Security, Privacy, and Trust
- 10.10 Technical and Non-Technical Challenges in Healthcare and Biomedical Sectors
- 10.11 Future Work Toward Healthcare and Biomedical Sectors
- 10.12 Conclusion
- References
- Chapter 11 Electronic Health Records in a Blockchain
- Introduction
- Blockchain in Healthcare
- Structure of EHR
- Components of Electronic Health Records
- Effectiveness of Electronic Health Records
- Categories and Life Span of EHR
- EHR Adoption in India
- Challenges of Blockchain
- Conclusion
- References
- Chapter 12 A PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm
- 12.1 Introduction
- 12.1.1 Research Gap and Findings
- 12.2 Literature Review
- 12.3 Proposed Methodology
- 12.3.1 Proposed Flow Work.
- 12.3.2 Algorithm for Artificial Flora Algorithm.
