Advanced Data Analytics in Health (Paperback, Softcover reprint of the original 1st ed. 2018)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Smart Innovation, Systems and Technologies, 93
Release date:	2019
First published:	2018
Editors:	Philippe J. Giabbanelli • Vijay K Mago • Elpiniki I. Papageorgiou
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	216
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-03-008571-1
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Medicine > General issues > Medical equipment & techniques > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-008571-6
Barcode:	9783030085711

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