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The aim of the present study was to determine the best threshold value for a spectrophotometric screening test and to estimate its diagnostic performances.
We identify the best "threshold" value that would minimize the overall network traffic incurred due to mobility management, cache consistency management, and query processing, when given a set of parameter values characterizing the operational and workload conditions of the MIP network.
The best threshold value is selected using different simulations.
The best threshold value is the one that minimizes a misclassification rate.
Signal detection theory allows us to calculate the best threshold value of the detector for the growing of spines.
Therefore, the best threshold value is half of the maximum value of the correlation function obtained before applying threshold.
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Therefore, in real conditions, one has to put a lot of attention to the correct calibration by the best threshold values selection.
For 90-day mortality discrimination, the receiver operating characteristic curve (ROC) analysis tested the best threshold values (using the Youden index) of the variables and the area under the curve (AUC) was calculated.
The 95% CIs for the best threshold values were 9 to 14% and 6 to 9 mmHg, respectively.
The receiver operating curves (ROC) for all scores were constructed to assess different areas under the curve (AUCs) and the best threshold values for predicting 3-month outcome.
Receiver operating characteristic (ROC) curves are instrumental in assigning the best threshold values, since they display the trade-off between sensitivity and specificity.
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