Sentence examples for balanced sensitivity from inspiring English sources

Their project manager in Belgrade, Nikola Nedeljkovic, says that "we envisage Belgrade Waterfront to be a game-changing hub for Serbia", and that it "takes into consideration the balanced sensitivity to nature, culture and modernity".

Continuous variables were first dichotomized above and below a threshold value that maximized accuracy of classification under ROC with balanced sensitivity and specificity.

The predictive power of the CTA (area) method for detecting surgical stenoses, described by its ROC curve, was significantly higher than that of the CTA (diameter) method, with better balanced sensitivity and specificity and significantly higher AUC values.

Using cutoff levels with the best balanced sensitivity and specificity recent consumption amount and/or time of ethanol could be determined for forensic purposes and substance abuse treatment (SAMHSA - Substance Abuse and Mental Health Services Administration 2012).

However, cut-off values of 0.4, 0.5 and 0.6 result in a balanced sensitivity and specificity with only a minor change in all calculated statistics for both the datasets.

However, it is interesting to note that two of the methods which treat classification as a two class problem, generating cut-offs from both normal and abnormal putamenal SBRs (i.e. methods SQ 15 and SQ 17), produced some of the highest accuracy figures, with lower variance and well balanced sensitivity and specificity values.

although no single criterion or combination of criteria achieves a balanced high sensitivity and specificity[ 1 7].

In particular, we evaluated key performance parameters (AUROC, balanced accuracy, sensitivity and specificity) for each scoring system and depicted this graphically according to the frequency of variables required for the calculation of the score.

Table 2 shows the balanced accuracy, sensitivity, specificity, area under the receiver operating characteristic (ROC) curve, and maximum accuracy threshold EBM stage for classification of MCI-stable versus MCI-converters over different follow-up durations.

As presented in Table 2, the model that is trained using the combination of amino acid composition and PSSM profile of non-redundant fragment sequences of Ub sites performs best, with the best-balanced predictive sensitivity and specificity.

When comparing the strategies for the balanced combination of sensitivity and specificity, the sensitivities (95.2% versus 95.8%) were not significantly different; the specificity (94.6%) of the new strategy was similar to that of the existing search strategy (95.0%), but the difference was significant (p-value = 0.032).