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Big Data in Healthcare

Extracting Knowledge from Point-of-Care Machines

  • Pouria Amirian
  • Trudie Lang
  • Francois van Loggerenberg

Table of contents

  1. Front Matter
    Pages i-vii
  2. Francois van Loggerenberg, Tatiana Vorovchenko, Pouria Amirian
    Pages 1-13
  3. Pouria Amirian, Francois van Loggerenberg, Trudie Lang
    Pages 15-37
  4. Pouria Amirian, Francois van Loggerenberg, Trudie Lang
    Pages 39-58
  5. Pouria Amirian, Trudie Lang, Francois van Loggerenberg, Arthur Thomas, Rosanna Peeling
    Pages 59-83
  6. Tatiana Vorovchenko, Proochista Ariana, Francois van Loggerenberg, Pouria Amirian
    Pages 85-98
  7. Back Matter
    Pages 99-100

About this book

Introduction

This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data?

What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy.

Keywords

health care data analytics POC devices health care data analytics biosensors cloud storage improving healthcare data science data analytics big data technologies disease survellience public health and social media

Editors and affiliations

  • Pouria Amirian
    • 1
  • Trudie Lang
    • 2
  • Francois van Loggerenberg
    • 3
  1. 1.Centre for Tropical Medicine and Global HealthUniversity of OxfordOxfordUnited Kingdom
  2. 2.Centre for Tropical Medicine and Global HealthUniversity of OxfordOxfordUnited Kingdom
  3. 3.Centre for Tropical Medicine and Global HealthUniversity of OxfordOxfordUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-62990-2
  • Copyright Information The Editors and Authors 2017
  • Publisher Name Springer, Cham
  • eBook Packages Medicine
  • Print ISBN 978-3-319-62988-9
  • Online ISBN 978-3-319-62990-2
  • Series Print ISSN 1864-8118
  • Series Online ISSN 1864-8126
  • Buy this book on publisher's site
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