An Ontology-Based Contextual Data Modeling for Process Improvement in Healthcare / A M Abirami, A Askarunisa -- Semantic Web for Effective Healthcare Systems: Impact and Challenges / Hemendra Shankar Sharma, Ashish Sharma -- Ontology-Based System for Patient Monitoring / R Mervin, Tintu Thomas, A Jaya -- Semantic Web Solutions for Improvised Search in Healthcare Systems / Nidhi Malik, Aditi Sharan, Sadika Verma -- Actionable Content Discovery for Healthcare / Ujwala Bharambe, Anuradha Srinivasaraghavan -- Intelligent Agent System Using Medicine Ontology / Tintu Thomas, R Mervin -- Ontology-Based System for Robotic Surgery-A Historical Analysis / Ajay Agarwal, Amit Kumar Mishra -- IoT-Enabled Effective Healthcare Monitoring System Using Semantic Web / Sapna Juneja, Abhinav Juneja, Annu Dhankhar, Vishal Jain -- Precision Medicine in the Context of Ontology / Rehab A Rayan, Imran Zafar -- A Knowledgebase Model Using RDF Knowledge Graph for ClinicalDecision Support Systems / Ravi Lourdusamy, Xavierlal J Mattam -- Medical Data Supervised Learning Ontologies for Accurate Data Analysis / B Tarakeswara Rao, R S M Lakshmi Patibandla, V Lakshman Narayana, Arepalli Peda Gopi -- Rare Disease Diagnosis as Information Retrieval Task / Lakkakula Jaya, Phate Rutuja, Alfiya Korbu, Sagar Barage -- Atypical Point of View on Semantic Computing in Healthcare / L Mayuri, K M Mehata -- Using Artificial Intelligence to Help COVID-19 Patients / Ayush Hans.

Includes bibliographical references and index.

Online resource; title from PDF title page (John Wiley, viewed December 2, 2021).

SEMANTIC WEB FOR EFFECTIVE HEALTHCARE SYSTEMS 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.

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