Internet of Things and Big Data Technologies for Next Generation Healthcare

Author:   Chintan Bhatt ,  Nilanjan Dey ,  Amira S. Ashour
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   23
ISBN:  

9783319497358


Pages:   388
Publication Date:   09 January 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Internet of Things and Big Data Technologies for Next Generation Healthcare


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Author:   Chintan Bhatt ,  Nilanjan Dey ,  Amira S. Ashour
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   23
Dimensions:   Width: 15.50cm , Height: 2.20cm , Length: 23.50cm
Weight:   7.214kg
ISBN:  

9783319497358


ISBN 10:   3319497359
Pages:   388
Publication Date:   09 January 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Internet of Things Driven Connected Healthcare.-Internet of Things in HealthcareEnergy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.

Reviews

This is an introduction to the concepts of the Internet of Things (IoT) and the application of analytics to the data, including aspects of data storage and model derivation. ... intended audience is professionals contemplating direct involvement in IoT data in healthcare, which would include engineers, data scientists, and some clinical informaticians who are interested in development and application of IoT technology. ... book is useful for someone looking to investigate topics related to the use of IoT in healthcare. (David M. Liebovitz, Doody's Book Reviews, October, 2017)


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