Semantic Models in IoT and eHealth Applications

The power of IoT-based semantic models in eHealth is being harnessing by clinical researchers, clinicians, and other medical staff in order to observe the real world and generate diagnoses and treatments. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices which 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. Semantic Models in IoT and eHealth Applications explores the key role of semantic web modelling 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 adopting semantic web 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. 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 adopting semantic web technologies Covers applications across range of eHealth technologies, including remote monitoring and mobile health