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The optimal C and Gamma values utilized in the final model were obtained from a grid search for the highest ROC-AUC performance on the validation set.
According to the high ROC areas of every patient, it might be expected that the system obtains high GDR for all of them.
The highest ROCs (> 0.838) were observed by NN.
CA125 showed a sensitivity of 81.8% using cut-off 35 U/ml, accordingly specificity was calculated for the peaks with highest ROC AUC at fixed sensitivity of 81.8%; 68.5% and 67.7% for Apo-CIII and PCI respectively (Table 1).
The only exception would be when implementation costs for the procedure yielding the higher ROC exceed the implementation costs of the procedure that yields the lower ROC.
The peaks with highest ROC AUC for each protein in cyst fluid (PCI, ApoC-III, ApoC-I, SAA4 and TTR) were selected for further statistical analysis together with corresponding serum CA125.
A multivariate model that combined miR-200b + c with normalization by serum volume and miR-103 gave the highest ROC-AUC for discriminating women with SEOC from healthy women (AUC = 0.784; Table 2, Figure 4B).
In the current study, the highest ROC-AUC's for MT prediction were calculated for hemoglobin, Quick value and aPTT.
Subsequent ROC analysis for high estimation of sustained remission indicated a cut-off value for the adalimumab-free remission of 1.98.
Subsequent ROC analysis for high estimation of sustained remission indicated a lower cut-off value for the biologic-free remission of 1.98 than the threshold for DAS28-ESR remission of 2.6.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com