Sentence examples for higher sensitivity level from inspiring English sources

In the case of groups, this means that some members can exchange messages at a higher sensitivity level than others.

More importantly, the best linear combination obtained with LDA approach tends to overestimate the false negative rate and underestimate the false positive rate at the lower sensitivity level (Table 2), and do exactly the opposite at the higher sensitivity level.

The diagnostic sensitivity of the developed assay is 100% (264/264) compare to the 41% (108/264) of the reference test that may be caused by higher sensitivity level of the new test in comparison with the reference test.

With DF method, the linear combination of 4-h and 3-h increased the Area Under the Curve (AUC) and decreased the number of false classifications (0.87; 15.0%) over individual time points (0.83, 0.82; 15.6%, 25.3%, for 4-h and 3-h, respectively) at a higher sensitivity level (sensitivity = 0.9).

Higher sensitivity levels lead to upper access ranks, where less data masking and concealments are applied.

Another study has noted higher sensitivity levels.

Searches were repeated at higher sensitivity levels until no more trGTPases were detected (Table 1).

They recorded higher sensitivity levels for the EIA (87.1%) than those recorded in this study but suggest that the EIA has a low reproducibility level and could give a high number of false-negative results.

Higher detection of canine babesiosis by PCR based assays as compared to microscopy as observed in the present study has also been reported by several authors worldwide indicating the higher sensitivity levels of PCR [ 10, 17, 26– 30].

As these next-generation assays can measure up to tenfold lower troponin concentrations than conventional assays [ 20], we might have obtained higher sensitivity levels if we had used such assays in this study cohort.

Using >650 records of experimentally validated steroid hormone response elements, a high sensitivity level of 73% and high specificity level of one prediction per 8.24 kb is reached, allowing this model to be used for further prediction of primary target genes through the analysis of their upstream promoters, for human or other vertebrate genomes of interest.