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Telemedicine technologies : big data, deep learning, robotics, mobile and remote applications for global healthcare /
Telemedicine Technologies: Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system. The book also focuses on showcasing prototypes...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom :
Academic Press, an imprint of Elsevier,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Mobile Application for Medical Diagnosis
- Emerging Paradigms in Transform-Based Medical Image Compression for Telemedicine Environment
- Adopting m-Health in Clinical Practice: A Boon or a Bane?
- Investigation of Telecardiology System to Detect Cardiac Abnormalities
- Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Shape and Steerable Gaussian Features
- Telemetry System for Early Detection of Hyperbilirubinemia in Neonates
- WBAN: Driving e-healthcare Beyond Telemedicine to Remote Health Monitoring: Architecture and Protocols
- Remote Monitoring of Children With Chronic Illness Using Wearable Vest
- A Predictive Model for Hypertension Diagnosis Using Machine Learning Techniques
- From Telediagnosis to Teletreatment: The Role of Computational Biology and Bioinformatics in Tele-Based Healthcare
- m-Health in Public Health Practice: A Constellation of Current Evidence
- The Egyptian-African Telemedicine Network: The Treat and Teach Comprehensive Model
- An Extended Views Based Big Data Model Toward Facilitating Electronic Health Record Analytics
- Security and Privacy in Remote Healthcare: Issues, Solutions, and Standards
- Virtual Clinic: A CDSS Assisted Telemedicine Framework.