Intelligent Semantic Analysis for Healthcare
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 October 2026
- ISBN 9780443335129
- Binding Paperback
- No. of pages500 pages
- Size 235x191 mm
- Language English 700
Categories
Long description:
Intelligent Semantic Analysis for Healthcare explores the latest trends, developments, and future directions of intelligent semantic analysis techniques on retrieving and managing meaningful medical information for healthcare information systems. The book explores different computational methods, ideas, strategies, and techniques to analyze relevant healthcare information in an innovative and efficient way, thus bridging the gap between gathering and comprehending data with healthcare and biological applications. It offers a comprehensive view of intelligent semantic analysis in healthcare, bridging the gap between data collection and healthcare applications, and providing innovative computational methods for data analysis.
Sections focus on intelligent semantic analysis rather than broader topics of big data and healthcare analytics. Additionally, the book is geared towards practical approaches and innovative techniques for state-of-the-art and current challenges in healthcare data management.
Table of Contents:
Part I: Foundational Frameworks of Intelligent Healthcare
1. Advanced Data Analysis Techniques for Healthcare Informatics
2. From Efficiency to Sustainability: The Evolution of Smart Healthcare Systems
3. Architectural Analysis of Cyber Physical Systems for Healthcare - A Review
Part II: The Physical Layer: IoT, Wearables, and Cyber-Physical Systems
4. Transforming Healthcare with Intelligent Data Analysis: Harnessing Wearable Technology, Generative AI, and Cloud Computing
5. Current Trends in IoT-Enabled Healthcare for Wellness Management
6. Semantic Interoperability for the Internet of Medical Things (IoMT): From Wearables to Standards
7. Medical Cyber Physical Systems (MCPS) for patient monitoring and treatment
Part III: The Semantic Heart: LLMs, Knowledge Graphs, and Interoperability
8. Enhanced semantic model in Healthcare
9. Large Language Models in Healthcare Semantics
10. Hybrid Semantic Statistical Architectures for Explainable and Trustworthy Clinical Decision Support Systems
11. Semantic Clinical Decision Support Systems: Challenges and Future Scope
Part IV: Clinical Intelligence: Domain-Specific Applications
12. Multimodal Semantic Integration in Radiology: From Pixels to Clinical Knowledge Graphs
13. A Framework for Brain Tumor (Glioma) Analysis using SVM and Graph Convolutional Networks
14. Sentinel Eye: Hybrid AI for Non-Invasive Anemia Detection Using Eye Scans, Symptoms, and History
Part V: Trust and Resilience: Security, Privacy, and Explainability
15. Semantic Computing in Healthcare: Bridging The Gap Between Innovation and Privacy Security Measures
16. Securing Cyber Physical Systems in Healthcare using Blockchain
17. Exploring Security and Privacy Challenges in Intelligent Semantic Healthcare
Part VI: Sustainability, Policy, and the Future Landscape
18. Sustainable Futures: Advancing Healthcare Responsibly
19. Embedding Sustainability into Work-Life Balance Practices with Special Reference to Healthcare Sector
20. The Role of the National Health Digitization Agency (NHDA) in Digitizing the Algerian Health Sector: Between Reality and Prospects Contributors
21. Smart Healthcare Systems: In the Era of Metaverse, Artificial Intelligence, and Data Science
22. Challenges and Future Scope of Intelligent Semantic Healthcare
