Big Data in Healthcare - Extracting Knowledge from Point-of-Care Machines (Paperback, 1st ed. 2017)

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 analysis with big data? What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Pharmaceutical Science & Drug Development
Release date:	September 2017
First published:	2017
Editors:	Pouria Amirian • Trudie Lang • Francois van Loggerenberg
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	100
Edition:	1st ed. 2017
ISBN-13:	978-3-319-62988-9
Categories:	Books > Medicine > General issues > Medical equipment & techniques > General Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > Pharmaceutical technology
LSN:	3-319-62988-3
Barcode:	9783319629889

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