Intelligent Semantic Analysis for Healthcare
- 1st Edition - October 1, 2026
- Latest edition
- Editors: Sonali Vyas, Samiya Khan, Priyadarsan Patra, Korhan Cengiz
- Language: English
Intelligent Semantic Analysis for Healthcare explores the latest trends, developments, and future directions of intelligent semantic analysis techniques on retrieving and managi… Read more
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Description
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.
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.
Key features
Key features
- Explores the operation of future healthcare data systems, enhancing clinical resources to ensure optimal patient outcomes
- Highlights trends, challenges, opportunities, and future areas in healthcare informatics, focusing on accessing extensive datasets containing potentially lifesaving information
- Presents case studies that demonstrate the intelligent analysis of healthcare information through the combination of real-time data, predictions, and advanced computer programs
Readership
Readership
Researchers and academics in the fields of biomedical engineering, computational biology, healthcare informatics. Data scientists and analysts Undergraduate and graduate students studying biomedical engineering, computer science, healthcare informatics, or related fields who are interested in learning about intelligent semantic analysis techniques in healthcare
Table of contents
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
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: October 1, 2026
- Language: English
About the editors
About the editors
SV
Sonali Vyas
Sonali Vyas is an academician and researcher for more than 12 years. She is a Senior Member-IEEE and Lifetime member of CSI. She is an active researcher, and her prime areas of research are healthcare informatics, data analytics and mining. She has authored around 40 research papers, articles and chapters in SCI/WOS/Scopus-indexed journals/conference proceedings and books. She has also authored and edited many books in the areas of machine learning, telemedicine, artificial intelligence, healthcare, blockchain, etc. She is also a member of the Editorial Board and Reviewer Board in many referred National and International journals. She has also been a member of the Organizing Committee, National Advisory Board, and Technical Program Committee at many International and National conferences. She has also Chaired Sessions at various reputed International and National Conferences.
Affiliations and expertise
Associate Professor, University of Petroleum and Energy Studies, Dehradun, IndiaSK
Samiya Khan
Dr. Samiya Khan is an alumna of Sri Venkateswara College, University of Delhi (Bachelor’s Degree), Institute of Informatics and Communication, University of Delhi, South Campus (Master’s Degree) and Jamia Millia Islamia, New Delhi (Ph.D. – Computer Science). Currently, she is working as a postdoctoral research fellow at University of Wolverhampton, United Kingdom. Her current research focuses on the use of artificial intelligence for Internet of Things (IoT) applications.
Affiliations and expertise
Lecturer, Computer Science, University of Greenwich, Greenwich, UKPP
Priyadarsan Patra
Priyadarsan Patra is the pro-vice-chancellor of DIT University, India. He served as chief architect and principal scientist of R&D at Intel Corp (USA), as dean of Computer Sciences at UPES University and dean of Research at Xavier University. Author of 75+ scholarly publications, four books, 13 international patents, Senior Member of IEEE and ACM, and an IE Fellow. His research interests include intelligent systems architecture, and he founded IEEE System Validation and Debug Technology Committee. Gianluigi Ferrari is an associate professor of Telecommunications at the University of Parma, Italy, where he coordinates the Internet of Things (IoT) Lab at the Department of Engineering and Architecture. He has written over 400 scientific papers/book chapters/books/patents and is an IEEE Senior Member. His research interests include IoT, networking, and smart systems.
Affiliations and expertise
Distinguished Professor and Pro Vice-Chancellor, DIT UNIVERSITY, Dehradun, Uttarakhand, IndiaKC
Korhan Cengiz
Assoc. Prof. Dr. Korhan Cengiz is a senior researcher at the University of Hradec Králové, Czech Republic, and Associate Professor at Istinye University, Turkey. He holds a PhD in Electronics Engineering from Kadir Has University and has held academic roles in Turkey, the UAE, and Jordan. Dr. Cengiz has authored over 40 SCI/SCI-E articles, 10+ book chapters, 5 international patents, and edited more than 20 books. His research focuses on wireless sensor networks, IoT, signal processing, and 5G. He serves as Associate Editor for IEEE Transactions on Intelligent Transportation Systems, IEEE Potentials, and IET journals, and is a frequent keynote speaker at IEEE and Springer conferences. A Senior Member of IEEE and ACM, he has received multiple awards, including best paper and presentation honors at ICAT conferences.
Affiliations and expertise
University Research Committee Chair, University of Fujairah, United Arab Emirates