Big Data in Healthcare Extracting Knowledge from Point-of-Care Machi
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 a
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Pouria Amirian Trudie Lang Francois van Loggerenberg Editors
Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines 123
SpringerBriefs in Pharmaceutical Science & Drug Development
More information about this series at http://www.springer.com/series/10224
Pouria Amirian Trudie Lang Francois van Loggerenberg •
Editors
Big Data in Healthcare Extracting Knowledge from Point-of-Care Machines
123
Editors Pouria Amirian Centre for Tropical Medicine and Global Health University of Oxford Oxford UK
Francois van Loggerenberg Centre for Tropical Medicine and Global Health University of Oxford Oxford UK
Trudie Lang Centre for Tropical Medicine and Global Health University of Oxford Oxford UK
ISSN 1864-8118 ISSN 1864-8126 (electronic) SpringerBriefs in Pharmaceutical Science & Drug Development ISBN 978-3-319-62988-9 ISBN 978-3-319-62990-2 (eBook) DOI 10.1007/978-3-319-62990-2 Library of Congress Control Number: 2017946047 Editors keep the copyright © The Editors and Authors 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Contents
1 Introduction—Improving Healthcare with Big Data. . . . . . . . . . . . . . Francois van Loggerenberg, Tatiana Vorovchenko and Pouria Amirian
1
2 Data Science and Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pouria Amirian, Francois van Loggerenberg and Trudie Lang
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3 Big Data and Big Data Technologies . . . . . . . . . . . . . . . . . . . . . . . . . . Pouria Amirian, Francois van Loggerenberg and Trudie Lang
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4 Big Data Analytics for Extracting Disease Surveillance Information: An Untapped Opportunity . . . . . . . . . . . . . . . . . . . . . . . Pou
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