Advanced Data Analytics in Health
Language: English
Published by Springer, 2018
Series: Book 91 of 235 - Smart Innovation, Systems and Technologies
- Hardcover
- Used

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- Title
- Advanced Data Analytics in Health
- Author
- Giabbanelli, Philippe J. (EDT); Mago, Vijay K. (EDT); Papageorgiou, Elpiniki I. (EDT)
- Publisher
- Springer
- Publication year
- 2018
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319779109
- ISBN 13
- 9783319779102
- Series
- Book 91 of 235: Smart Innovation, Systems and Technologies
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
GreatBookPricesUK
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