Sentence examples for robust utility from inspiring English sources

We found this to be a better experience that enables users a more robust utility to share multiple photos from their phone," he explains.

38 Since there were no previously published utility values relating explicitly to duration of morning stiffness symptoms, a robust utility elicitation exercise was performed.

However, these utility values were obtained from a robust utility valuation study of ADHD health states [ 37] that involved parents of children with ADHD as the respondent population and employed standard gamble methodology.

Combining two validated measures in this way represents a valuable way of linking clinical and economic outcome measures, but further work is required in order to produce more robust utility estimates that can be used in technology assessment.

Once the best-performing markers had been identified, we tested their performance in a second group of adult critical care patients, thus requiring them to show robust utility across multiple institutions and patient subtypes.

It is entirely possible that screening might also impact adversely on quality-of-life (e.g., in those with a positive screening test or those undergoing annual surveillance), but we were unable to identify any robust utility data for these health states.

We have also demonstrated that these robust utilities, either derived by VAS or by standard gamble techniques, generally do not vary significantly by patient and clinical characteristics.

Many of these risk factors are reliably recorded within primary care clinical computer systems and hence such data can be used to derive robust utilities that can then be applied in primary care.

You can customize them just like every other key on the board — Razer's robust configuration utility allows you to set the Y key to type a Q if you want, or to perform a 50-stroke macro.

Before we move on to reviewing the works on dynamic risk and performance measures, it is worth mentioning that the robust expected utility theory proposed by Gilboa and Schmeidler (1989) can be viewed as a more comprehensive theory than the one discussed in (Artzner et al. 1999); we refer to (Roorda et al. 2005) for the relevant discussion.

Furthermore, it may be possible to evaluate and incorporate biomarkers into future algorithms although to date no markers have shown robust clinical utility in this setting.