Edge-of-Things in Personalized Healthcare Support Systems

Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage, sharing healthcare records of individuals in a secure manner that is globally distributed to incorporate best health care practices. The book provides a collection of research results that cover expertise in healthcare professionals, sharing of records over the cloud, access controls, rights of the shared document, privacy of the document, and edge computing techniques to identify the cause(s) of disease(s). The book advances personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics. As medical records need to be shared with only a select few, new technologies must address clinician expertise and access to medical records in all media formats while also addressing privacy, security and access policies. Provides in-depth analysis on the state-of-the-art in healthcare systems and applications in modeling and design Presents discussions and explorations of the social impact on the intertwined use of emerging IT technologies for healthcare Covers system design and software building principles for healthcare using IoT, Cloud, and Edge technologies, along with the support of effective and efficient data analytics strategies Explores the latest algorithms using machine and deep learning in the areas of Cloud, Edge Computing, IoT and Healthcare analytics INDICE: 1. Digitization of healthcare2. Role of IoT, Cloud, Edge computing for healthcare3. Cloud/Edge architecture and frameworks for healthcare applications4. Cognitive computing in healthcare5. Healthcare data storage and retrieval6. Healthcare systems security and privacy7. Medical image processing8. Knowledge discovery in Electronic Health Records (EHR)9. Prediction and analytics from healthcare data10. Natural language processing of healthcare data11. Multi-dimensional healthcare data fusion and analytics12. Digital healthcare solutions and trends13. Social media analytics for public health data14. Cloud based IoT in Healthcare applications15. Decision Support Systems in Healthcare16. E-health and m-health17. Ubiquitous and Pervasive Computing in Healthcare18. Internet of Medical Things and applications19. Telemedicines 20. Pandemics management through data analytics and Cloud/Edge computing21. Social impacts of healthcare systems22. Case studies in cloud/edge based healthcare

• ISBN: 978-0-323-90585-5
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 370
• Fecha Publicación: 01/06/2022
• Nº Volúmenes: 1
• Idioma: Inglés