Sentence examples for specificity of the decision from inspiring English sources

Although the study reported a high reliability, the number of events was too low to adequately assess the sensitivity and specificity of the decision instrument.

We carry out a simulation study to investigate the sensitivity and specificity of the decision rules we propose, and we illustrate our approach in a case study of congenital anomalies in England.

Sensitivity and specificity of the decision instrument did not depend on event type, pathogen type, or WHO region of occurrence because no strong evidence of an association between concordance and these factors was found.

The ROCs in the cross-validations all have area under curve (AUC) between 0.717 to 0.999 as compared with the randomly expected AUC of 0.5, indicative of high sensitivity and specificity of the decision trees in predicting the phenotypes (Fig. 1C).

It is a central argument in the article that we have to understand the specificity of the decision situation, without reducing it either to other phases (before or after) of the total processes of PND and selective abortion, or to general discourses of disability or normality.

The sensitivity, specificity, and PPV of the decision instrument were then calculated by cross-tabulating the outcome of the notification process and the true outcome of each event (taken as the expert panel consensus decision) in a 2 × 2 table.

Therefore, to increase the number of putative terminators of the 320 class 1 terminators we lowered the specificity of the class 2 decision rule as follows: class tc3 — class 1 intrinsic terminators validated by only one algorithm, maintaining rules i, iii and iv, described above; and class tc4 — class 1 intrinsic terminators validated by only one algorithm, maintaining rules i and iii or iv.

Limits related to the weight of the characteristics of the context are on the other hand inherent in the specificity of policy decisions and the method aims at setting common criteria for selecting relevant issues of the context.

The sensitivity, specificity, and predicted precision of the decision to treat individuals was then calculated for cut-off points representing integer values of BMI between 16 and 20 at age 5.

Sensitivity, specificity, PPV, and CIs of the decision instrument were then calculated.

Our voxel based morphometry analysis of the S-NR group provided a more specific cluster of reduced volume within the left middle frontal gyrus — which improved the specificity of this step of the decision tree from 77% to 89%.