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Spatial decision support systems (SDSS) are a branch of data-driven decision support systems that utilize spatial data in the decision-making process.
Data warehouses are a major component of data-driven decision support systems (DSS).
The development and application of data-driven decision-support systems for medical triage, diagnostics, and prognostics pose special requirements on physiologic data.
System data is abundant, yet data-driven decision making is currently more of an art than a science.
Over time, data-driven decision making branches out across the organization.
The intervention coupled targeted investments in health systems readiness with interventions targeting quality improvement and data-driven decision making (12– 12).
Designing and utilizing a system for using these data, it would be possible to provide data-driven decision support to the patients, as a complement to a knowledge-driven approach.
Advanced analysis of the energy production and consumption data and data-driven decision support can be combined to promote the formation and development of smart energy systems.
It's a data-driven decision.
In light of the limitations of data-driven decision making.
Not everyone was embracing data-driven decision making.
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