Ontology-Based Information Retrieval for Healthcare Systems - Hardcover

Über die Autorin bzw. den Autor

Vishal Jain is an associate professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi, India. He has more than 350 research citation indices with Google Scholar (h-index score 9 and i-10 index 9). He has authored more than 70 research papers in reputed conferences and journals indexed by Web of Science and Scopus, as well as authored and edited more than 10 books with various international publishers. His research areas include information retrieval, semantic web, ontology engineering, data mining, adhoc networks, and sensor networks.

Ritika Wason is currently working as an associate professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. She completed her PhD degree in Computer Science from Sharda University. She has more than 10 years of teaching experience and has authored as well as edited several books in computer science and has been a recipient of many awards and honors.

Jyotir Moy Chatterjee is currently an assistant professor in the IT department at Lord Buddha Education Foundation (Asia Pacific University of Technology & Innovation), Kathmandu, Nepal. He has completed M. Tech from Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha and B. Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute, Chennai. His research interests include the cloud computing, big data, privacy preservation, data mining, Internet of Things, machine learning.

Dac-Nhuong Le, PhD is the Head-Deputy of Faculty of Information Technology, Haiphong University, Vietnam. He has a total academic teaching experience of 10 years with many publications in reputed international conferences, journals and online book chapter contributions. He researches interests span the optimization and algorithmic mathematics underpinnings of network communication, security and vulnerability, network performance analysis, and cloud computing.

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This unique book highlights key advances in ontology-based information retrieval techniques especially those applied in the healthcare domain and clinical information systems.

With the advancements of the semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time-span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data.

This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas:

• Semantic data integration in e-health care systems
• Keyword-based medical information retrieval
• Ontology-based query retrieval support for e-health implementation
• Ontologies as a database management system technology for medical information retrieval
• Information integration using contextual knowledge and ontology merging
• Collaborative ontology-based information indexing and retrieval in health informatics
• An ontology-based text mining framework for vulnerability assessment in health and social care
• An ontology-based multi-agent system for matchmaking patient healthcare monitoring
• A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems
• A methodology for ontology-based multi-agent systems development
• Ontology based-systems for clinical systems: validity, ethics and regulation

Audience

The book will be used by researchers and post-graduate students in artificial intelligence, big data and Internet of Things, as well as software developers, information technology managers, data scientists and analysts, and healthcare system designers. The book is designed to be first choice reference at university libraries, laboratories, academic institutions, research and development centers, information technology centers, and any institutions interested in using, design, modeling, and analyzing intelligent healthcare services.