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.