Intelligent Semantic Analysis for Healthcare - Softcover

Softcover

ISBN 10: 0443335125 ISBN 13: 9780443335129

Publisher: Academic Press, 2026

Synopsis

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.

• 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

About this title

About the Authors

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.

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.

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.

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.

From the Back Cover

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.

Edition details

• Publisher: Academic Press
• Publication date: 2026
• Language: English
• ISBN 10: 0443335125
• ISBN 13: 9780443335129
• Binding: Paperback
• Edition number: 1
• Number of pages: 470
• Editor: Vyas PhD Sonali, Khan PhD Samiya, Patra PhD Priyadarsan, Cengiz PhD Korhan