Sentence examples for use in benchmarking to from inspiring English sources

The consistency of the proposed modifications of the UKPDS risk engine has the potential for use in benchmarking to calculate the risk of MACE in subjects enrolled in current clinical studies.

The measurement technique used in benchmarking leads to the development of a language independent performance enhancement framework that allows the programmer to select which code segments need staging.

This includes correlation studies between the PIPEQ-OS and other quality indicators, analyses that evaluate the discrimination between providers and sensitivity to detect changes over time, and development and testing of case-mix models to use in benchmarking.

In developing a CSQI for use in benchmarking of operator performance, it is critical to recognise that operator's may have little control over many of the attributes that define a consumer service quality index (or any customer satisfaction metric).

We also emphasize that is possible that other methods, such as paid softwares, make use of some of the datasets used in this benchmark to improve their performance as most of gold standard used in this work is available in the Web or under request to authors.

A number of publicly available datasets [6 8] have been developed for use in benchmarking studies, and several groups have compared the performance of existing two-dimensional chemical fingerprint algorithms on these benchmark datasets [9 12].

Such datasets are typically use in benchmarking or systems testing.

We created pseudo-replicate predicted count values from the single component samples for use in benchmarking.

The major output of this study, gridded normative data on terrestrial productivity, may find use in benchmarking NPP models employed in coupled carbon-cycle-climate models.

Accurately conducting such evaluations presupposes knowledge of the underlying true predictive accuracy for use in benchmarking the relative performance of the competing methods with and without outliers.

This is necessary when data is used in benchmarks in order to detect best practices and stimulate quality improvement.