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For 17 studies (63%), we calculated the referral rates using the sensitivity, specificity and either (1) the PPV and NPV or (2) the prevalence of illness.
We compared the kits using the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), Youden index (YI), and negative and positive bacteriology rates.
The performance for each classifier is evaluated using the sensitivity, specificity, mean error, standard deviation, and AUC values with 100 simulations that use randomly selected training and testing sets.
Again, the performance for each classifier was evaluated using the sensitivity, specificity, mean error, standard deviation, and AUC values with 100 simulations and randomly selected training and testing sets for each simulation.
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Previous studies have used the sensitivity, specificity, predictive values, and variations of receiver operating characteristic (ROC) curves to evaluate the performance of syndromic surveillance systems using simulated data [ 3].
Presence thresholds were determined using the sensitivity-specificity sum maximisation approach [ 33] and the performance of the models were tested using 25% of the occurrence data points to determine the area under the receiver operating characteristic (ROC) curve (AUC).
A receiver operator characteristics curve (ROC curve) was constructed using the sensitivity and specificity of each maneuver extracted from included study using Meta-DiSc version 1.4 (Universidad Complutense, Madrid, Spain) [35].
The classification performances were assessed using the sensitivity, the specificity, and the accuracy of the classification [ 61].
Likelihood ratios for MODY were calculated using the sensitivity and specificity obtained from various cut-offs in fitted probabilities in the models.
Since the 10 simulated outbreaks were randomly generated by using consistent rates, the sensitivity, specificity, and time to detection could be stratified by dataset and outbreak type.
When a dysplasia index threshold of ≥2 was used, the sensitivity and specificity for diagnosing IMC/HGD were 83% and 75%, respectively.
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