Semantic Models in Iot and Ehealth Applications

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.

• Presents comprehensive coverage of advances in the application of semantic web in the field of eHealth
• Explores different challenges and issues through various case studies of healthcare systems that are adopting semantic web technologies
• Covers applications across a range of eHealth technologies, including remote monitoring and mobile health

《物聯網和電子健康應用中的語義模型》探討了語義網建模在電子健康技術中的關鍵作用，包括遠程監測、移動健康、雲數據和生物醫學本體。本書通過各種採用這些技術的醫療系統的案例研究，探討了不同的挑戰和問題。章節介紹了在醫療模型設置中語義互操作性的概念，並探討了語義表示對於對連接醫療設備產生的大量生物醫學數據進行分類、分析和理解的重要性。

持續健康監測是一種強大的解決方案，可以通過使用基於物聯網的設備收集傳感器數據，為社區提供電子健康服務，以進行高效的健康診斷、監測和治療。所有收集到的數據都需要以本體的形式表示，本體被認為是語義網的基石，用於知識共享、信息集成和信息提取。

本書全面介紹了語義網在電子健康領域的應用進展，通過各種採用語義網技術的醫療系統的案例研究，探討了不同的挑戰和問題。涵蓋了遠程監測和移動健康等各種電子健康技術的應用。