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Elsevier

Intelligent Semantic Analysis for Healthcare

  • 1st Edition - August 28, 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

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.

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

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

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

Product details

  • Edition: 1
  • Latest edition
  • Published: August 28, 2026
  • Language: English

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
Professor, JK Lakshmipat University, Jaipur, India

SK

Samiya Khan

Dr. Samiya Khan is Assistant Professor of Computer Science at the University of Southampton Delhi and a Fellow of the Higher Education Academy (HEA). Her research focuses on data science, ethical artificial intelligence, and the application of AI in Internet of Things (IoT) environments. Her work spans digital health, green computing, responsible AI, and interdisciplinary approaches to emerging technologies. In addition to her research and teaching activities, she serves as a Women in Data Science (WiDS) Ambassador, supporting initiatives that promote diversity and inclusion in technology.
Affiliations and expertise
Assistant Professor of Computer Science, University of Southampton Delhi, Delhi, India

PP

Priyadarsan Patra

Dr. Priyadarsan Patra is a computer scientist, academic leader, and technology executive with more than 35 years of experience spanning industry, academia, and research. He spent 22 years with Intel Corporation, followed by senior leadership roles in higher education, including serving as Founding Vice Chancellor of NIST University. He holds a PhD in Computer Science from The University of Texas at Austin and has extensive expertise in artificial intelligence, intelligent systems, and emerging computing technologies. Dr. Patra served as editor of Intelligent Semantic Analysis for Healthcare, published by Elsevier, and contributed chapters to the volume, bringing together perspectives on semantic technologies and their applications in healthcare.

Affiliations and expertise
Vice-Chancellor, NIST University, Odisha, India

KC

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
Associate Professor, Prince Mohammad Bin Fahd University, Saudi Arabia

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