Sentence examples for proportion of sensitivity from inspiring English sources

Exact(2)

A first cutoff point ('balanced score') was defined so as to optimise the proportion of sensitivity and specificity scores.

Some authors prefer a score that (a) gives the best proportion of sensitivity and specificity, indicating the point at which the percentage of wrongly classified patients is reduced to a minimum ('balanced score').

Similar(57)

The results also reveal large proportion of low sensitivity areas in Set A, covering areas of 117.42 km25.01.01%).

Typically, in genetic diseases caused by mutations in high proportion of DNA, sensitivity of diagnostic assays is not a critical factor for SNP detection.

Discontinuous error metrics such as proportion of misclassifications, sensitivity, and specificity are "improper scoring rules" however, since they impose arbitrary thresholds on predictor models and do not capture the uncertainty in the predictions [27].

Using a random sample of 250 medical records, we calculated proportion of agreement, sensitivity, specificity, and positive and negative predictive values for each indicator.

To further explore the use of CD27+ B-cell proportion for prognosis, we defined a threshold proportion of 26% (sensitivity = 92%, specificity = 71%, Youden index = 63%, positive predictive value = 85% and negative predictive value = 83%).

†P value for test of difference of proportions, sensitivity of cytology in control arm at 3 years versus HPV testing in intervention arm at 3 (P=0.1934), 5 (P=0.4871), 8 (P=0.0255), and 10 years (P=0.0010).

†P value for test of difference of proportions, sensitivity of cytology in control arm at three years versus HPV testing in the intervention arm at 3 (P=0.0481), 5 (P=0.8970), 8 (p=0.0294), and 10 years (P=0.0012).

Examining sensitivity and specificity, that is, the proportion of true positives (sensitivity) and true negatives (specificity), which are correctly identified by the four-step decision tree.

The ROC plot shows that with an increase in the proportion of true positives (sensitivity) the proportion of false positives also increased (Fig.  3).

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