Advanced Data Analytics in Health
This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made
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Philippe J. Giabbanelli · Vijay K. Mago Elpiniki I. Papageorgiou Editors
Advanced Data Analytics in Health 123
Smart Innovation, Systems and Technologies Volume 93
Series editors Robert James Howlett, Bournemouth University and KES International, Shoreham-by-sea, UK e-mail: [email protected] Lakhmi C. Jain, University of Canberra, Canberra, Australia; Bournemouth University, UK; KES International, UK e-mails: [email protected]; [email protected]
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought. The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions. High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles.
More information about this series at http://www.springer.com/series/8767
Philippe J. Giabbanelli Vijay K. Mago Elpiniki I. Papageorgiou •
Editors
Advanced Data Analytics in Health
123
Editors Philippe J. Giabbanelli Computer Science Department Furman University Greenville, SC USA
Elpiniki I. Papageorgiou Department of Computer Engineering Technological Educational Institute Lamia Greece
Vijay K. Mago Department of Computer Science Lakehead University Thunder Bay, ON Canada
ISSN 2190-3018 ISSN 2190-3026 (electronic) Smart Innovation, Systems and Technologies ISBN 978-3-319-77910-2 ISBN 978-3-319-77911-9 (eBook) https://doi.org/10.1007/978-3-319-77911-9 Library of Congress Control Number: 2018935881 © Springer International Publishing AG, part of Springer Nature 2018 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, re
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