ROC analysis

ROC analysis

Clinical decision-making The analysis of the relationship between the true positive fraction of test results and the false positive fraction for a diagnostic procedure that can take on multiple values. See 4-cell decision matrix. Cf Likelihood ratio.
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The overall diagnostic performance of overlay images was found to be good in the ROC analysis (AUC 0.847; P < 0.001).
The sensitivities and specificities for different values of PPV were plotted on a curve and urine output within 120 seconds of revascularization of the graft used as the desired value for ROC analysis (Figure 6).
Table-III: PTX-3 levels of the malignant and benign patients with ROC analysis results performed for estimation strength of the malignant cases.
ROC analysis showed that the AUC values for podocalyxin, nephrin, NGAL, and KIM-1 were >0.7.
The relation between WHtR, four skinfolds (triceps, subscapular, supraspinale and calf), sum of four skinfolds, body fat% and overweight/obesity as defined by the IOTF was investigated with ROC analysis. The discriminating power was expressed as area under the curve (AUC).
ROC analysis showed that all curves for anthropometric parameters (i.e., BMI, BMI z-score, WC, WHtR) have comparable and excellent discriminatory capability (AUC>0.800) towards inflammation status level (low vs.
The ROC analysis was applied to determine the cut-off values, which are the critical cut-off points for the minimum monocyte, maximum RDW values, and APACHE II score measurements that are thought to be susceptible to mortality.
They reported the admission NLR cut-off value as 10.6, day 1 NLR cut-off value as 8.1, and day 2 NLR cut-off value as 4.8 in their ROC analysis to predict patients with mild and severe AP.
Based on the ROC analysis, the increasing trend of NT-pro BNP levels during ICU stay was predictive of mortality with area under curve (AUC) of 0.84 (p<0.0001, 95% CI: 0.75-0.93) at cut-off value > 5543 (sensitivity: 80%; specificity: 79%, PPV: 0.53, and NPV: 0.93) (Figure 2).