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.
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References in periodicals archive ?
A number of criteria were applied for the search of transcriptomics data sets of CLL from GEO that would be used for the validation analyses.
The ICCR is affiliated with the World Health Organization/ International Agency for Research on Cancer (WHO/IARC), where the nomenclature agreed upon in the WHO Tumour Classification book series is included in data set development by recognized pathology and epidemiology experts, produced in synchrony with new editions' publication schedules.
The home page features a "feed" that allows users to view and comment on edited stories, uploaded data sets, or entire dashboards.
We applied PCR to five data sets and generated 21 final academic performance prediction models for each data set.
From the figure, it is seen that the first three data sets with threshold values of 1.5, 1.75 and 2.0 should make the highest impact on the detection results, as these data sets decrease by 25, 15 and 11 percent, respectively.
A few types of malware data sets are frequently used.
Comparison of Biraben's and Cohn's historical plague data sets. Biraben's data set included references to plague in various types of documents from Italy, Iberia, France, the Low Countries, and the British Isles that were written during 1345-1499 (2,3).
After noting the three GAST data sets "are not a valid representation of reality," the authors state that "since GAST data set validity is a necessary condition for EPA's GHG/C[O.sub.2] Endangerment Finding, it too is invalidated by these research findings."
We are doing aggregation in the sense that we are sourcing what we call the best quality data sets for the categories of information that we think decision makers care about holistically 6 as well as tools to back test and gain conviction over what works and what doesn't."
Information visualization techniques have been proven to be of high value in gaining insight into these large data sets. The aim of information visualization is to use the computer-based interactive visual representations of abstract and non-physically based data to amplify human cognition.
Some simulations are taken on some function approximation problems and benchmark data sets in Section 4.