Sentence examples for mean specificity from inspiring English sources

Statistical differences in mean per-patient sensitivity and mean specificity measures were assessed with the McNemar test.

The score-based evaluation improved the radiologists' mean sensitivity to correctly assess pulmonary edema from 57 to 77% as well as their mean specificity from 90 to 100%.

Mean sensitivity or mean specificity of the sputum HIV test showed no significant differences between the two technicians (data not shown).

The mean sensitivity improved considerably from 36%to71%1%, mean specificity decreased from 93%to64%4%, mean PPV dropped from 84%to63%3%, mean NPV improved from 61%to69%9% (Table 5).

Nevertheless, in this study, mean specificity was higher (92.2%) than mean sensitivity (73.9%) which concurs with the report of the original version in which sensitivities and specificities were also calculated in relation to chart review [ 3].

We found that although the mean CNVs detection sensitivity and specificity for the SCRS data from MDA was lower than those of DOP-PCR and MALBAC, the mean CNVs detection mean sensitivity and mean specificity for the SCRS data from MDA-2 were 78.91 % and 76.47 %, respectively, and one specific MDA-2 cell (cell MDA-2_66) even reached 93.84 % and 96.13 %, respectively.

The equation used for NPV is (4) NPV = S × (1 − P ) 1 − S × P + S × (1 − P ), where S means specificity and P presents prevalence.

Using a Gaussian kernel PCA resulted in mean sensitivities of 86.51% and 87.88% and mean specificities of 63.99% and 56.83% for LDA and SVM, respectively.

Hypothesis testing indicated that the specificity of the Serfling, trimmed seasonal and generalized linear models varied with the study calendar year and study month (p < 0.05) over a range of mean specificities between 0.50 and 0.99.

Using a standard PCA before final Gleason score classification resulted in mean sensitivities of 51.19% and 64.37% and mean specificities of 72.71% and 39.90% for LDA and SVM, respectively.

The mean sensitivities of the classifiers with Gaussian kernel PCA were statistically significantly higher while the mean specificities of them were slightly lower when all feature elimination iterations were applied.