<p>The Area under the ROC curve (AUC) indicates the diagnostic power of D-dimer levels (AUC = 0.833).</p
a<p>ROC curve analysis was used to distinguish between SIRS and sepsis;</p>b<p>ROC curve analysis wa...
<p>ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p
The AUC (A) analyzing active MMP-2/Pro-MMP-2 ratio with a cutoff value of 0.11 illustrates perfect d...
<p>The ROC curve analysis shows combination diagnosis of ADC value and dilated tubal structure achie...
Area under the curve (AUC) determined with ROC analyses with respect to prediction of cartilage degr...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
<p>ROC curves for systemic inflammatory response markers in patients with gastric cancer (GC) accord...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>The area under the ROC curve (AUC) ± standard error was 0.945±0.182 (<i>P</i><0.001). The dotted ...
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
The diagonal line represents detection achieved by chance alone (AUROC = 0.50); the ideal AUROC is 1...
<p>Receiver operating characteristic (ROC) curves were utilized to evaluate the accuracy of D-dimer ...
a<p>ROC curve analysis was used to distinguish between SIRS and sepsis;</p>b<p>ROC curve analysis wa...
<p>ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p
The AUC (A) analyzing active MMP-2/Pro-MMP-2 ratio with a cutoff value of 0.11 illustrates perfect d...
<p>The ROC curve analysis shows combination diagnosis of ADC value and dilated tubal structure achie...
Area under the curve (AUC) determined with ROC analyses with respect to prediction of cartilage degr...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
<p>ROC curves for systemic inflammatory response markers in patients with gastric cancer (GC) accord...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>The area under the ROC curve (AUC) ± standard error was 0.945±0.182 (<i>P</i><0.001). The dotted ...
<p>The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
The diagonal line represents detection achieved by chance alone (AUROC = 0.50); the ideal AUROC is 1...
<p>Receiver operating characteristic (ROC) curves were utilized to evaluate the accuracy of D-dimer ...
a<p>ROC curve analysis was used to distinguish between SIRS and sepsis;</p>b<p>ROC curve analysis wa...
<p>ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p
The AUC (A) analyzing active MMP-2/Pro-MMP-2 ratio with a cutoff value of 0.11 illustrates perfect d...
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