Intelligent Interactive Multimedia Systems for e-Healthcare Applications / edited by Amit Kumar Tyagi, Ajith Abraham, Arturas Kaklauskas
Material type:
E-bookPublisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XII, 452 páginas) : 151 ilustraciones, 89 ilustraciones a color.ISBN: 9789811665424.Subject: Inteligencia artificial en medicina
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | R859.7.A78 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.09012667 |
Introduction about Multimedia and its Applications -- Smart Monitoring, Diagnosis and Predictive Evaluations (with tagging) for e-Healthcare -- Medical data, Image, Video Processing and Visualization (including recommendation) for Smart healthcare -- Innovative Information Services by Smart Multimedia System for Senior citizens and Disable Peoples -- Innovative Services using Big Data Analytics in Smart Healthcare -- Smart Patient Care by Intelligent Systems: Patient Condition Screening, Visualization and Monitoring with Multimedia Technology -- Intelligent Multimedia Interactive Systems for Industry based Healthcare System -- Security, Privacy of Smart Healthcare Systems: From Industry 4.0's Perspective.
This book includes high-quality research on various aspects of intelligent interactive multimedia technologies in healthcare services. The topics covered in the book focus on state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies in healthcare. The volume provides insights into smart healthcare service demands. It presents all information about multimedia uses in e-healthcare applications. The book also includes case studies and self-assessment problems for readers and future researchers. This book proves to be a valuable resource to know how AI can be an alternative tool for automated and intelligent analytics for e-healthcare applications.
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