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.
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