Semantic Models in IoT and eHealth Applications (Paperback)


Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction.

R2,911

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles29110
Mobicred@R273pm x 12* Mobicred Info
Free Delivery
Delivery AdviceOut of stock

Toggle WishListAdd to wish list
Review this Item

Product Description

Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Academic Press Inc

Country of origin

United Kingdom

Series

Intelligent Data-Centric Systems

Release date

September 2022

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2022

Editors

, ,

Dimensions

235 x 191 x 24mm (L x W x T)

Format

Paperback

Pages

290

ISBN-13

978-0-323-91773-5

Barcode

9780323917735

Categories

LSN

0-323-91773-9



Trending On Loot