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Within a specific ROC the best threshold is indicated by a red dot which has been evaluated considering the unbalance between benign and malignant lesions.
As this method does not provide any CI of the threshold, we realized a bootstrap analysis to obtain a calculation of the best threshold and its 95% CI.
A notch was defined as a minimum of a 15-dB drop at 4000-6000 Hz from the previous best threshold with a 5-dB 'recovery' at 8000 Hz.
TcPO2, measured by an ROC curve, showed a value 46 mmHg as the best threshold for identifying MACE, with an area under the curve of 0.73 (95% CI 0.68 0.77).
With an 8-Mbps stheam, the best threshold is 12.5 dB for 8-packet buffer, while the best threshold is 11.0 dB for a 2-packet buffer.
The ROC curve of the resulting simulation is shown in Figure 5, with an AUC of 0.916 (best threshold of −7.4), which is better than the previous one reported in Table 1. Figure 5 also shows the distribution of scores for binders and nonbinders.
The best threshold was a PLR-induced increase in CO ≥10 ± 2 %.
The mean of the best threshold was a PLR-induced increase in CO of more than 10±2%2%.
The mean of the best threshold was a PLR-induced increase in PP of more than 12 ± 4%.
This idea is reinforced by the fact that the least significant change (LSC) is smaller than the best threshold for a 500-ml load.
‡Corresponds to the best threshold for a definition of cutaneous hyperthermia determined by using receiver operating characteristic curve.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com