Semantic Models in IoT and eHealth Applications
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- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
122,00 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
17.09.2022
Herausgeber
Sanju Tiwari + weitereVerlag
Elsevier Science & Techn.Seitenzahl
290 (Printausgabe)
Dateigröße
30746 KB
Sprache
Englisch
EAN
9780323972260
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
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
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