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Intelligent Semantic Analysis for Healthcare
- 1st Edition - August 1, 2025
- Editors: Sonali Vyas, Samiya Khan, Priyadarsan Patra, Korhan Cengiz
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 5 1 2 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 5 1 3 - 6
"Intelligent Semantic Analysis for Healthcare" explores the latest trends, developments, and future directions of intelligent semantic analysis techniques on retrieving and manag… Read more
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Request a sales quote"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, retrieving smart and relevant information with less time and cost. This book explores different computational methods, ideas, strategies, and techniques to analyze relevant healthcare information in an innovative and efficient way, bridging the gap between gathering and comprehending data with healthcare and biological applications. This book 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. It focuses on intelligent semantic analysis specifically, rather than broader topics of big data and healthcare analytics. Additionally, it is geared towards practical approaches and innovative techniques for state-of-the-art and current challenges in healthcare data management.
• 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 life-saving information
• Presents case studies demonstrating the intelligent analysis of healthcare information through the combination of real-time data, predictions, and advanced computer programs
• Highlights trends, challenges, opportunities, and future areas in healthcare informatics, focusing on accessing extensive datasets containing potentially life-saving information
• Presents case studies demonstrating the intelligent analysis of healthcare information through the combination of real-time data, predictions, and advanced computer programs
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.
1. Intelligent healthcare information systems
2. Semantic Interoperability for Healthcare data
3. Medical Intelligent Agent-based Semantics
4. E-Healthcare systems with Intelligent Semantics
5. Cyber Physical Systems for Healthcare
6. Semantic Web Technologies for Healthcare systems
7. Semantic Analysis and Information Access Techniques for Healthcare
8. Semantic Gloss: Healthcare Methods and Perceptions
9. Semantic Technologies and Cognition
10. Sustainable Smart Healthcare Systems
11. Intelligent data analysis techniques
12. Security and Privacy Issues of Intelligent Semantic Healthcare
13. Challenges and Future Scope of Intelligent Semantic Healthcare
2. Semantic Interoperability for Healthcare data
3. Medical Intelligent Agent-based Semantics
4. E-Healthcare systems with Intelligent Semantics
5. Cyber Physical Systems for Healthcare
6. Semantic Web Technologies for Healthcare systems
7. Semantic Analysis and Information Access Techniques for Healthcare
8. Semantic Gloss: Healthcare Methods and Perceptions
9. Semantic Technologies and Cognition
10. Sustainable Smart Healthcare Systems
11. Intelligent data analysis techniques
12. Security and Privacy Issues of Intelligent Semantic Healthcare
13. Challenges and Future Scope of Intelligent Semantic Healthcare
- No. of pages: 500
- Language: English
- Edition: 1
- Published: August 1, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780443335129
- eBook ISBN: 9780443335136
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 at the University of Petroleum and Energy Studies, Dehradun, IndiaSK
Samiya Khan
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
Postdoctoral Research Fellow, Digital Innovation, School of Mathematics and Computer Science, University of Wolverhampton, Wolverhampton, 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 was born in Edirne, Turkey, in 1986. He received the BSc degrees in Electronics and Communication Engineering from Kocaeli University and Business Administration from Anadolu University, Turkey in 2008 and 2009 respectively. He took his MSc degree in Electronics and Communication Engineering from Namik Kemal University, Turkey in 2011, and the PhD degree in Electronics Engineering from Kadir Has University, Turkey in 2016. Since March 2023, He has been a Senior Researcher in the department of Information Technologies, University of Hradec Kralove, Kralove, Czech Republic. Since September 2022, He has been an Associate Professor in the department of Computer Engineering, Istinye University, Istanbul, Turkey. Since April 2022, he has been the chair of the research committee of University of Fujairah, United Arab Emirates. Since August 2021, he has been an Assistant Professor at the College of Information Technology in University of Fujairah, UAE. Dr. Cengiz is the author of more than 40 SCI / SCI-E articles including IEEE Internet of Things Journal, IEEE Access, Expert Systems with Applications, Knowledge Based Systems and ACM Transactions on Sensor Networks, 5 international patents, more than 10 book chapters, and 1 book in Turkish. He is editor of more than 20 books. His research interests include wireless sensor networks, wireless communications, statistical signal processing, indoor positioning systems, internet of things, power electronics and 5G. He is the Associate Editor of IEEE Transactions on Intelligent Transportation Systems, IEEE Potentials Magazine, Handling Editor of Microprocessors and Microsystems, Elsevier, Associate Editor of IET Electronics Letters, and IET Networks. He serves several reviewer positions for IEEE Internet of Things Journal, IEEE Sensors Journal and IEEE Access. He serves several book editor positions in IEEE, Springer, Elsevier, Wiley and CRC. He presented 40+ keynote talks in reputed IEEE and Springer Conferences about WSNs, IoT and 5G. He is Senior Member, IEEE and Professional Member of ACM. Dr. Cengiz’ s awards and honors include the Tubitak Priority Areas PhD Scholarship, the Kadir Has University PhD Student Scholarship, best presentation award in ICAT 2016 Conference and best paper award in ICAT 2018 Conference.
Affiliations and expertise
University Research Committee Chair, University of Fujairah, United Arab Emirates