Editors:
- Focuses on the use of recently developed computational techniques in the context of health, including healthcare and public health
- Demonstrates how data can be transformed into valuable insights for various professionals, ranging from clinicians to policymakers
- Presents recent research on advanced data analytics in health
- Written by respected experts in the field
Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 93)
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Table of contents (12 chapters)
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Front Matter
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Data Exploration and Visualization
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Front Matter
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Challenges and New Frontiers
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Front Matter
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About this book
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 possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.
Reviews
“Organized and structured in a balanced way, chapters can be read independently based on the reader’s interests. Broad in its coverage with thorough literature reviews in each chapter, the book is a good starting point not only for medical practitioners and policy makers, but also for engineers, data scientists, and scholars interested in developing data-based conclusions in the healthcare domain.” (Mariana Damova, Computing Reviews, December, 2018)
Editors and Affiliations
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Computer Science Department, Furman University, Greenville, USA
Philippe J. Giabbanelli
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Department of Computer Science, Lakehead University, Thunder Bay, Canada
Vijay K. Mago
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Department of Computer Engineering, Technological Educational Institute, Lamia, Greece
Elpiniki I. Papageorgiou
Bibliographic Information
Book Title: Advanced Data Analytics in Health
Editors: Philippe J. Giabbanelli, Vijay K. Mago, Elpiniki I. Papageorgiou
Series Title: Smart Innovation, Systems and Technologies
DOI: https://doi.org/10.1007/978-3-319-77911-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-77910-2Published: 04 May 2018
Softcover ISBN: 978-3-030-08571-1Published: 30 January 2019
eBook ISBN: 978-3-319-77911-9Published: 20 April 2018
Series ISSN: 2190-3018
Series E-ISSN: 2190-3026
Edition Number: 1
Number of Pages: XIV, 216
Topics: Computational Intelligence, Artificial Intelligence, Health Informatics, Big Data/Analytics, Health Informatics