Sentences with phrase «used as predictive tools»

Racial biases are baked into the software products that are increasingly being used as predictive tools in criminal sentencing.

Doctors already test breast tumors for Ki67 levels, which can inform decisions about treatment, but this is the first time scientists have been able to link Ki67 to precancerous tissue and use it as a predictive tool.

Researchers Richard Li, Rosa Di Felice, Remo Rohs, and Daniel Lidar have demonstrated how a quantum processor could be used as a predictive tool to assess a fundamental process in biology: the binding of gene regulatory proteins to the genome.

Not exact matches

Typical financial processes used in business decisions such as formulary and benefit design, new product launching, budgeting and forecasting, and predictive modeling are not provided by PBMs» rebate tools.

This is why using a dartboard as a predictive tool is so wonderful: the results are immediate and unambiguous, it provides a competitive element and the results are at least as good as the talking heads can produce, but at a much lower cost!

«This data will be used as a predictive management tool to inform conservation efforts to restore condor populations, particularly with regard to emerging threats such as climate change and wind energy impacts,» added Sheppard

As law enforcement agencies are tasked with doing more with less, many are using predictive policing tools.

«Cod and climate: Researchers use the North Atlantic Oscillation as a predictive tool for managing an iconic fishery.»

«Models are being used to explore physical effects (scenarios) and as a predictive tool,» Andrew Callegari said in a Feb. 2, 1984 presentation for colleagues.

As we explain in our glossary item, climatologists use the concept of radiative forcing and climate sensitivity because it provides a very robust predictive tool for knowing what model results will be, given a change of forcing.

This includes predictive factors, validation of diagnosis specific tools for functional assessment as well as the impact of different surgical techniques and type of chemotherapy used on the incidence of chronic pain after surgery and adjunctive cancer treatment.

Some schools even use data — driven selection tools such as Paragon K12 that deploy predictive analysis to select top teachers.

As we explain in our glossary item, climatologists use the concept of radiative forcing and climate sensitivity because it provides a very robust predictive tool for knowing what model results will be, given a change of forcing.

To identify documents, predictive coding uses techniques and tools such as: concept, contextual, and metadata searches; probability theory; relevance ranking; clustering; and, sorting and filtering by issue.

Most e-discovery specialists understand Early Data Assessment (EDA) and Predictive Coding as independent tools, both used to reduce data during e-discovery production.

All of the panelists agreed that whether or not predictive coding is being used on a matter, keywords / search terms still have a useful place in the e-discovery process, as do other analytics tools including de-duplication and email threading.

Advancements in TAR, including the emergence of a second generation of predictive coding tools — referred to as «TAR 2.0» — and the strategic use of TAR technologies should remove many of the barriers to its use.

Our in - house document collection and analysis tools, including the use of technology - assisted review (such as predictive coding) help to increase efficiencies, find the important documents sooner, and reduce costs.

Key takeaways included: 1) The permanent shift towards experiential retail with a clear focus on experiencing a brand's culture and community, as well as testing and touching products before buying them; 2) the rise of shared office spaces stemming from new work habits which have created a market for office space which isn't owned by an employer, but that workers can rent or subscribe to as members; 3) the importance of predictive investment analytics has created greater access to data and data tools that can help practitioners track with and get ahead of markets trends; 4) the increasing need to focus on more responsible and effective land use as it becomes an increasingly precious commodity; 5) the rise of automation in the transportation industry which is driving a need for nimbler supply chains connecting scalable manufacturing spaces and warehouses in the industrial sector.