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Internet of Things and Big Data Technologies for Next Generation Healthcare

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Cover of 'Internet of Things and Big Data Technologies for Next Generation Healthcare'

Table of Contents

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    Book Overview
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    Chapter 1 Internet of Things Driven Connected Healthcare
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    Chapter 2 Internet of Things in HealthCare
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    Chapter 3 Energy Efficient Network Design for IoT Healthcare Applications
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    Chapter 4 Exploring Formal Strategy Framework for the Security in IoT towards e-Health Context using Computational Intelligence
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    Chapter 5 Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective
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    Chapter 6 Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview
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    Chapter 7 Big Data Knowledge System in Healthcare
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    Chapter 8 Big-Data Analytics, Machine Learning Algorithms and Scalable/Parallel/Distributed Algorithms
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    Chapter 9 Co-creation and Participatory Design of Big Data Infrastructures on the Field of Human Health Related Climate Services
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    Chapter 10 Information and Communication Emerging Technology: Making Sense of Healthcare Innovation
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    Chapter 11 Health Informatics as a Service (HIaaS) for Developing Countries
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    Chapter 12 Analysis of Power Aware Protocols and Standards for Critical E-Health Applications
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    Chapter 13 Social Network Analysis in Healthcare
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    Chapter 14 A Decision Support System in Brain Tumor Detection and Localization in Nominated Areas in MR Images
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    Chapter 15 Detecting Unusual Human Activities Using GPU-Enabled Neural Network and Kinect Sensors
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24 X users

Citations

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154 Dimensions

Readers on

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331 Mendeley
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Title
Internet of Things and Big Data Technologies for Next Generation Healthcare
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-49736-5
ISBNs
978-3-31-949735-8, 978-3-31-949736-5
Editors

Chintan Bhatt, Nilanjan Dey, Amira S. Ashour

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 331 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Unknown 330 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 17%
Student > Master 34 10%
Researcher 29 9%
Student > Bachelor 28 8%
Other 19 6%
Other 67 20%
Unknown 98 30%
Readers by discipline Count As %
Computer Science 91 27%
Engineering 45 14%
Business, Management and Accounting 17 5%
Medicine and Dentistry 14 4%
Social Sciences 10 3%
Other 42 13%
Unknown 112 34%