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Telemedicine Technologies : Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare

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eBook

Jude, Hemanth D. ; Balas, Valentina Emilia

Elsevier Science

San Diego

2019

9780128169490

U-05-00

Télémédecine ; Informatique ; Robotique

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 of remote healthcare systems, thus emphasizing the data processing side that is often recognized as the backbone of any telemedicine system.

Url / Doi : https://enva.biblioondemand.com/consult-brownsbooks.ashx?ide...

Localisation : Biblioondemand

Type de fond : Fonds dématérialisé

Table of Contents

1. Mobile application for medical diagnosis
2. Emerging paradigms in transform-based medical image compression for telemedicine environment
3. Adopting m-Health in clinical practice: a boon or a bane?
4. Investigation of telecardiology system to detect cardiac abnormalities
5. Microaneurysms detection for early diagnosis of diabetic retinopathy using shape and Steerable Gaussian features
6. Telemetry system for early detection of hyperbilirubinemia in neonates
7. WBAN: driving e-healthcare beyond telemedicine to remote health monitoring
8. Remote monitoring of children with chronic illness using wearable vest
9. A predictive model for hypertension diagnosis using machine learning techniques
10. From telediagnosis to teletreatment: the role of computational biology and bioinformatics in tele-based healthcare
11. m-Health in public health practice: a constellation of current evidence
12. The Egyptian-African telemedicine network: the treat and teach comprehensive model
13. An extended views based big data model toward facilitating electronic health record analytics
14. Security and privacy in remote healthcare: issues, solutions, and standards
15. Virtual clinic: a CDSS assisted telemedicine framework
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