Sentence examples for based on a threshold level from inspiring English sources

This new method is based on a threshold level, a critical adjacent factor (CAF), and a majority rule.

Based on a threshold level of NT-proBNP in relation to age, the sensitivity and specificity (including the 95%% confidence interval) were determined; the sensitivity of finding B-profile on ultrasound was 92.0 %, and the specificity was 91.0 %.

In light of this, no standard protocol is available for birds and, for example, California condors are considered in need of chelation therapy based on a threshold level recommended for lead-poisoned children [ 53].

It is however important to underline that the prevalence values reported here was based on a threshold level of approximately 10 cells; the selected strains could very well be present in the samples but not in enough amounts to be detected.

Previously we called the presence or absence of a genotypic marker based on a threshold signal level.

Significant T cell responses were determined based on a threshold of mean prevaccination level +3 SD after testing that prevaccination numbers of memory CD45RA−, α4β7 integrin+ CD4+ cells expressing interferon γ (IFNγ) (first study) or CD40L and interleukin 2 (IL2) (second study) were normally distributed (identified outliers in study 2 were excluded from analysis).

Genes with significantly altered expression were selected based on a threshold of ratios and confidence level.

Select vectors with high scores based on a threshold (S).

Sterne and Davey Smith [ 29] provide historical and theoretical reasons why attempting to suggest something is important or not based on an arbitrary threshold level was not the intent of the developers and is inappropriate.

The commercially available computer-aided diagnosis (CAD) systems presently in use display the suspicious lesions based on enhancement above a threshold level, and the enhancement kinetics from the lesion is also shown [ 13– 16].

Then, the determined diagnostic classifier could be used to predict a lesion being malignant or benign based on the threshold level.