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We asked ourselves, 'Why can't we do that?'" Turning the basement into a high-powered analytics and visualization laboratory was an afterthought, but turned out to be an effective way to do a lot of the show and tell required to open up eyes within agencies who could benefit by big data analysis.
Proponents of the big data revolution suggest that the value for physicians rests on the added information provided by big data analysis.
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Long wants to change that by making big data analysis affordable and easy for small to mid-sized companies.
"For example, that might take the form of attacking problems of relevance to clinical sciences by applying 'Big Data' analysis to electronic health records". In addition to having at least one representative from both campus and School of Medicine, each proposal was required to identify a plan for obtaining external funding after the seed-funded phase.
Some believe (with good justification) that these coming developments, coupled by guidance from "big data' analysis and real-time data crunching [ 29, 30], will usher in an era of "personalized" or "precision" medicine [ 10].
This study overcomes the limitations of previous methods of technology forecasting that have depended on expert opinion or peer review by performing a patent big data analysis to ascertain the domain of the BIM industry.
It is possible to gain competitive advantage by doing your own big data analysis.
An Israeli solution, developed by Maccabi Healthcare, uses big data analysis to enable HMOs to examine routine blood tests to identify the risk of this particular cancer in its very early stages, which the treating physician would not otherwise be able to detect as variations remain within the norm.
In [14], the authors mainly focused on the modeling and optimization for big data analysis by using statistical learning tools.
The latest progress based on [14]: Based on the statistical learning tools for big data analysis proposed by Slavakis et al. in [14], a lot of new study work has emerged.
The performance of these methods by using map-reduce model for big data analysis is, no doubt, better than the traditional frequent pattern mining algorithms running on a single machine.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com