data set

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data set

A cluster of information for a particular disease, intervention, monitoring activity or other, which is required in many areas of UK practice for maintaining statistics, ensuring data capture for patient management, good clinical governance and so on.

Examples, data sets
Morbidity recording, resource utilisation, inpatient and day case, geriatrics, cancer, cardiac surgery, surgical waiting lists, A&E waiting times, renal replacement therapy usage.
References in periodicals archive ?
Preserving anonymity in large data sets is a pressing concern because public and private entities alike see aggregated digital data as a source of novel insights.
The company said that using Wolfram's Computable Document Format (CDF), users can create visual depictions of their data sets, which then can be manipulated by others.
Typical MFL ILI tools in use today will collect several complementary data sets simultaneously, with multiple magnetization levels and high-resolution deformation arrays considered a necessary part of any data set for detection of mechanical damage.
Once an operator enters data onto a data entry form, they click a button to activate VBA code that transfers the data to a pre-designated spreadsheet for the particular data set.
A full copy snapshot replicates the data set in its entirety.
The use of large data sets in GIS is on the increase," said Martin Sendyk, President and CEO of AmberCore.
Analyzing such existing data sets can therefore provide a cost-effective means to test specific hypotheses that have not been adequately examined.
Thus, although the raw gaps are similar in the two data sets, larger residual gaps remain in the CNLSY for reasons we cannot explain.
One study (Aldridge, 1991) was determined to be an outlier through a process outlined by Huffcutt and Arthur (1995) and the remaining eighteen studies were a homogeneous data set with a weighted mean effect size of 0.
Created by AHIMA's eHIM work group, the data sets outline eight sample clinical workflows.
The test plan is a simple, three-step process: 1) Generate data sets representative of real measuring situations, 2) submit the same data sets to both the software under test and the NIST reference algorithms for fitting, and 3) compare the fit results from the software under test with the reference fits and report on the deviations between the two.
If the existing "digital tsunami" continues, as most believe it will, over the next several years, the size of a greater portion of data sets will expand beyond the ability of the older back-up model to maintain them.