Intelligent Semantic Analysis for Healthcare

Erscheinungsjahr 2025
ISBN: 978-0-443-33512-9
Verlag: Elsevier Science

Buch, Englisch, 500 Seiten, Format (B × H): 191 mm x 235 mm

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.

Autoren/Hrsg.

Vyas, Sonali

Khan, Samiya

Patra, Priyadarsan

Cengiz, Korhan

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

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

Über Autor(innen)

Cengiz, Korhan
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.

Patra, Priyadarsan
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.

Vyas, Sonali
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.

Khan, Samiya
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.