Sentences with phrase «outcome of the big data»

Not exact matches

«The sharing of data by big US insurers is part of their attempts to better manage utilisation, health behaviour and outcomes of the insured,» he said.
Meet Omada Health: With 87M consumers at risk of diabetes, 75,000 patients treated, 3 years of outcomes data, NetPromoter scores in the 90's, 70 + clients, and looming reimbursement by Medicare for its diabetes prevention online social network, Omada has «cracked the code» on integrating consumer technology, medical coaching and big data at scale.
«With all the fervor around the potential for big data, it's critical to keep in mind the substantial differences across databases in content, coding systems and practices, duration of available medical history and follow - up time, quality of outcome information, and clinical practice patterns.»
«The application of big data methods to target soldiers at high risk of rare but important outcomes like suicide is an exciting development because it gives us a way forward in focusing prevention efforts on an ongoing basis,» said Robert Ursano, chairman of the Psychiatry Department at the Uniformed Services University of the Health Sciences and an Army STARRS Principal Investigator.
Building on the successful outcomes of their multi-year history, these leading cancer research organizations will inspire new collaborators; improve diagnosis of pancreatic cancer using big data; develop new treatments for pancreatic cancer; and support the next generation of pancreatic cancer investigators.
She serves as a patient representative of the Patient Engagement Advisory Panel for the Patient Centered Outcomes Research Institute (PCORI) and sits on both the Executive and Steering committees of PCORnet, a national patient - centered big - data project.
The Machine Learning system offers a comprehensive overview of Big Data and uses it to predict the outcome.
In one of the most comprehensive reviews of school outcome data ever conducted, Hattie and colleagues (2008) showed that what teachers do in the classroom every day makes the biggest difference in student learning (Hattie, 2008).
In essence, big data can help you tell the story of the outcome of your eLearning efforts long before learners act.
They could take a big - data approach, combining information from a number of different sources — graduation rates, discipline outcomes, demographic information, teacher - created assessments and, eventually, workforce outcomes.
I'm doing a lot of work regarding Big Data — and one of the more interesting outcomes is that I notice just how poorly «research center» types tend to handle disparate data sourData — and one of the more interesting outcomes is that I notice just how poorly «research center» types tend to handle disparate data sourdata sources.
The legal industry sits atop one commentator's list of industries that need big data — and need to understand it.6 Law firms and attorneys are sitting on a gold mine of BI data and past case data that can guide decision - making, boost case outcome successes, increase profitability and inform pricing structures, and more efficiently distribute their human capital.
Although they did not use current terms of art, they were in fact referring to cutting edge technology called «Big Data,» which is an algorithmic process of collecting and analyzing massive data sets for the purpose of discovering associations, spotting trends, and predicting outcoData,» which is an algorithmic process of collecting and analyzing massive data sets for the purpose of discovering associations, spotting trends, and predicting outcodata sets for the purpose of discovering associations, spotting trends, and predicting outcomes.
I have called a tie between Nickey Johnson's submission regarding prosecutorial discretion and its potential for abuse and Stefon Lyons and Arely Lopez's team submission regarding the use of Big Data to predict legal outcomes.
Law firms have not invested enough in terms of time and money to identify, curate and systemize their knowledge and big data and to development of systems that lead to consistent and predictable outcomes for clients.
A tiny, tiny number of general counsel in big corporate organisations are doing amazing work with big data and outcomes and all the other things required to tie down slippery concepts like «quality» and «value», but they are the exception, not the rule, and, meanwhile, the headlong pursuit of process poses a systemic risk to Law itself.
LexPredict is a US based legal research, analytics and Big Data company that undertakes various projects such as FantasyScotus, a fantasy league that predicts the outcome of SCOTUS decisions using human experts and algorithms that forecast cases using dData company that undertakes various projects such as FantasyScotus, a fantasy league that predicts the outcome of SCOTUS decisions using human experts and algorithms that forecast cases using datadata.
«Whenever policymakers conduct a policy review of a rapidly evolving new development like Big Data, we fear that a rush to develop new policies could stifle innovative outcomes and threaten broad public benefits,» David LeDuc, senior director for public policy at the Software & Information Industry Association, told the E-Commerce...
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