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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
  2. Altmetric Badge
    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
Attention for Chapter 13: Social Network Analysis in Healthcare
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Chapter title
Social Network Analysis in Healthcare
Chapter number 13
Book 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_13
Book ISBNs
978-3-31-949735-8, 978-3-31-949736-5

Kiran Baktha, Mukul Dev, Himanshu Gupta, Aman Agarwal, B. Balamurugan


Chintan Bhatt, Nilanjan Dey, Amira S. Ashour

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Professor 1 7%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Lecturer 1 7%
Other 0 0%
Unknown 7 47%
Readers by discipline Count As %
Engineering 2 13%
Medicine and Dentistry 2 13%
Computer Science 2 13%
Social Sciences 1 7%
Nursing and Health Professions 1 7%
Other 1 7%
Unknown 6 40%