SWEHCS-2021: Semantic Web for Effective Health Care Systems: Impact and Challenges |
Website | https://sites.google.com/view/healthcc/home |
Submission link | https://easychair.org/conferences/?conf=swehcs2021 |
Abstract registration deadline | May 31, 2020 |
Submission deadline | August 31, 2020 |
********************* CALL FOR CHAPTERS *********************
- Book Title: Semantic Web for Effective Health Care Systems: Impact and Challenges
- Publisher: Scrivener, Wiley
With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in varied 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 demands effective ontology-based information retrieval approaches for clinical information systems. Further, Information Retrieval (IR) since its inception has matured into anestablished mechanism for facilitating fast and relevant information retrieval. However, mining relevant information from large amount of distributed data demands understanding the semantics of the desired information using ontology. Further with the growth in digital literature, effective search and retrieval of desired documents in the healthcare domain has become challenging. The pages displayed by search engines may not always be relevant. The medical field offers restricted vocabularies that encapsulate semantic information about various biomedical models, their semantic types and the relationships among them. The current web standard does not support Semantic Web technology. Information retrieval is fundamentally based on keyword-matching approaches. The fact that individuals use diverse terms to denote the same object presents a significant challenge in the healthcare industry. Healthcare is one of the finest represented subject areas on the Semantic Web currently. Textual query is transformed into a set of representative concepts matched to the indexed documents. End users still have to search for apt documents manually. Hence, the detection of pertinent information becomes a critical task. This book is an attempt to highlight the key advances in ontology-based information retrieval techniques especially being applied in the healthcare domain. The varied chapters attempt to uncover the current challenges in the application of ontology based information retrieval techniques to the healthcare systems. The book shall be a first of its kind that shall highlight only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems. The book can serve as a potential textbook for courses in healthcare systems as well as technologies. It can also serve as a reference book to medical practitioners as well as researchers involved in implementing as well as providing customized health care solutions to patients.
Submission Guidelines
SUBMISSION PROCEDURE:
Researchers and practitioners are invited to submit on or before 31st May, 2020, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by 1st July, 2020 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by 31st August, 2020 and all interested authors must consult the guidelines for manuscript submissions at http://www.scrivenerpublishing.com/guidelines.php prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
PUBLISHER:
The purpose of Scrivener Publishing is to publish books and journals in the technical applied sciences for both the practitioner in industry (engineer and technician) and the researcher in academia. This high-quality content is essential to our professional customers and is sold globally as print and electronic as well as in aggregated databases. We believe our content helps businesses and industry achieve cost efficiencies and higher productivity. We also believe that our new journal titles will be unique and important resources for both the practitioner and researcher in the fields represented. Finally, by partnering with Wiley, the leading engineering publisher, on our books through our joint imprint, Wiley-Scrivener, Scrivener Publishing will offer our authors global marketing, sales, and distribution both in print and digital. This publication is anticipated to be released in 2021.
List of Topics
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Recommended Topics: Topics to be discussed in this special issue include (but are not limited to) the following:
- A Multi-agent Infrastructure for Healthcare Process Improvement Using Ontology
- An Internet of Things Approach for Managing Smart Services Provided by Wearable Devices
- An Ontology-Based Intelligent Agent System for Semantic Search in Medicine
- Deep learning and clinical natural language processing
- Design and Implementation of e-Health System Based on Semantic Sensor Network
- E-Healthcare Decision Support System based on Ontology Learning
- Ontologies in Supervised Learning from Medical Data
- Ontology based Machine Learning using Data Mining Techniques
- Infectious disease ontology
- Ontology Based Public Healthcare System in Internet of Things (IoT)
- Ontology driven interactive healthcare with wearable sensors
- Ontology-based system for patient monitoring
- Semantics-Powered Healthcare Engineering and Data Analytics
- Rare disease diagnosis as an information retrieval task
Contact
All questions about submissions should be emailed to ...
- Dr. Vishal Jain, Sharda University, Greater Noida, India, Email: drvishaljain83@gmail.com, Contact No:+91-9899997263
- Prof. Jyotir Moy Chatterjee, Lord Buddha Education Foundation, (Asia Pacific University of Technology & Innovation), Kathmandu-44600, Nepal, Email: jyotirchatterjee@gmail.com
- Dr. Ankita Bansal, NSUT, New Delhi, India, Email: ankita.bansal06@gmail.com , Contact No:+91-9654275366
- Dr. Abha Jain, Delhi University, Delhi, Email: frndz.catch@gmail.com , Contact No:+91-9873121193