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Semantic Models in IoT and eHealth Applications
Semantic Models in IoT and eHealth Applications
Semantic Models in IoT and eHealth Applications
Semantic Models in IoT and eHealth Applications

Semantic Models in IoT and eHealth Applications

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Semantic Models in IoT and eHealth ApplicationsAuthor(s): Sanju Tiwari, Fernando Ortiz Rodriguez, M.A. Jabbar\nFormat: Paperback\nPublisher: Elsevier Science & Technology, United Kingdom\nImprint: Academic Press Inc\nISBN-13: 9780323917735, 978-0323917735\nSynopsis\nSemantic 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 t.

Semantic Models in IoT and eHealth Applications

Semantic Models in IoT and eHealth ApplicationsAuthor(s): Sanju Tiwari, Fernando Ortiz Rodriguez, M.A. Jabbar\nFormat: Paperback\nPublisher: Elsevier Science & Technology, United Kingdom\nImprint: Academic Press Inc\nISBN-13: 9780323917735, 978-0323917735\nSynopsis\nSemantic 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 t.

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