Semantic Models in Iot and Ehealth Applications
暫譯: 物聯網與電子健康應用中的語意模型
Tiwari, Sanju Mishra, Ortiz Rodriguez, Fernando, Jabbar, M. a.
- 出版商: Academic Press
- 出版日期: 2022-10-01
- 售價: $5,040
- 貴賓價: 9.5 折 $4,788
- 語言: 英文
- 頁數: 290
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0323917739
- ISBN-13: 9780323917735
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相關分類:
物聯網 IoT
海外代購書籍(需單獨結帳)
相關主題
商品描述
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
商品描述(中文翻譯)
《物聯網與電子健康應用中的語意模型》探討了語意網路建模在電子健康技術中的關鍵角色,包括遠端監控、行動健康、雲端數據和生物醫學本體。這本書通過各種案例研究,探討目前採用這些技術的醫療系統所面臨的不同挑戰和問題。各章節介紹了在醫療模型環境中語意互操作性的概念,並探討了語意表示如何成為分類、分析和理解由連接醫療設備產生的大量生物醫學數據的關鍵。
持續的健康監控是一種強有力的解決方案,能夠通過使用基於物聯網的設備來提供電子健康服務,這些設備收集傳感器數據以進行有效的健康診斷、監控和治療。所有這些收集到的數據需要以本體的形式表示,本體被視為語意網的基石,用於知識共享、信息整合和信息提取。
- 提供了語意網在電子健康領域應用進展的全面覆蓋
- 通過各種採用語意網技術的醫療系統案例研究,探討不同的挑戰和問題
- 涵蓋了包括遠端監控和行動健康在內的多種電子健康技術的應用