Semantic Web for Effective Healthcare Systems (Machine Learning in Biomedical Science and Healthcare Informatics)

The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions

Semantic Web technologies have the opportunity to transform the way healthcare providers utilize technology to gain insights and knowledge from their data and make treatment decisions. Both Big Data and Semantic Web technologies can complement each other to address the challenges and add intelligence to healthcare management systems.

The aim of this book is to analyze the current status on how the semantic web is used to solve health data integration and interoperability problems, and how it provides advanced data linking capabilities that can improve search and retrieval of medical data. Chapters analyze the tools and approaches to semantic health data analysis and knowledge discovery. The book discusses the role of semantic technologies in extracting and transforming healthcare data before storing it in repositories. It also discusses different approaches for integrating heterogeneous healthcare data.

This innovative book offers:

• The first of its kind and highlights only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems;
• Presents a comprehensive examination of the emerging research in areas of the semantic web;
• Discusses studies on new research areas including ontological engineering, semantic annotation and semantic sentiment analysis;
• Helps readers understand key concepts in semantic web applications for the biomedical engineering and healthcare fields;
• Includes coverage of key application areas of the semantic web.

Audience: Researchers and graduate students in computer science, biomedical engineering, electronic and software engineering, as well as industry scientific researchers, clinicians, and systems managers in biomedical fields.

Vishal Jain is an associate professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P. India. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has authored more than 80 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 10 books with various international publishers.

Jyotir Moy Chatterjee is an assistant professor in the Department of Information Technology at Lord Buddha Education Foundation (Asia Pacific University of Technology & Innovation), Kathmandu, Nepal.

Ankita Bansal is an assistant professor in the Division of Information Technology at Netaji Subhas University of Technology. She received her master’s and doctoral degree in computer science from Delhi Technological University (DTU).

Abha Jain is an assistant professor in the Department of Computer Science Engineering, Shaheed Rajguru College of Applied Sciences for Women, Delhi University, India. She received her master’s and doctorate degree in software engineering from Delhi Technological University.