Semantic Models in Io T and e Health Applications explores the key role of semantic web modeling in e Health 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 e Health services to a community through the use of Io T-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. – Presents comprehensive coverage of advances in the application of semantic web in the field of e Health- Explores different challenges and issues through various case studies of healthcare systems that are adopting semantic web technologies- Covers applications across a range of e Health technologies, including remote monitoring and mobile health
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