Sentence examples for screening performance for from inspiring English sources

In general, we found that the GOLD screening performance for many datasets (see Table 3) was improved when applying the docking score normalization.

It also shows that organizational screening performance is sigmoid in individual screening performance for hierarchies of polyarchies and for polyarchies of hierarchies.

(PDF 66 KB) 13321_2013_607_MOESM8_ESM.pdf Additional file 8: Figure S5: The dependence of negative training set size on machine learning-based virtual screening performance for 2 types of fingerprints and 12 protein targets from confirmatory set, averaged over 10 independent trials.

The most significant changes were found for SMO and Random Forest methods, which both moved to the region of high recall and precision (quarter I). Figure 1 The dependence of negative training set size on machine learning-based virtual screening performance for 2 types of fingerprints and 3 protein targets, averaged over 10 independent trials.

To empirically evaluate the psychometric properties of the 15-item Geriatric Depression Scale (GDS-15); determine the optimal cutoff points and screening performance for the detection of major depression; and examine differential item functioning (DIF) to determine the variability of item responses across sociodemographics in an elderly home care population.

Figure 3 shows an example of screening performance for a range of CVD risk factors.

The method is therefore no different from the modelling used in estimating the screening performance of, for example, Down's syndrome in pregnancy [22].

The cost-effectiveness of the two newborn screening models – hospital-based and community-based – did not differ significantly, assuming comparable screen performance for the two newborn screening models.

Moreover, it has been shown recently that defining tumours showing instability at ⩾2 markers as MSI (instead of ⩾3 out of 5) considerably enhanced the screening performance of the pentaplex panel for MSH6-deficient tumours (Goel et al, 2010).

(PDF 313 KB) 13321_2013_607_MOESM2_ESM.pdf Additional file 2: Figure S2: The dependence of negative training set size on machine learning-based virtual screening performance, calculated for 5-HT1A over the full range of 100 4000 negative examples.

After applying stepwise backwards regression analysis, none of the characteristics contributed to further improvement of the detection of mental disorders, suggesting indifference of the screening performance tool for socio-demographics.