<p>ROC = receiver operating characteristic; AUC = area under the curve.</p><p>Results of the ROC Analysis.</p
<p>Sensitivity and specificity values were obtained for increasing classification thresholds to prod...
a<p>AUC: Area Under the receiver operating characteristic (ROC) Curve.</p>b<p>Sens. and spec. are th...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
<p>Legends: AUC: area under the curve; S.E.: standard error; Sig.: significance level; CI: confidenc...
<p>Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) values for train...
Receiver Operating Characteristic (ROC) curve with the Area Under the Curve (AUC) value obtained on ...
<p>The area under the ROC (AUC) = 0.997 (95% confidence interval [CI] 0.991 to 1.000, <i>P</i><0.001...
<p>AUC, area under the ROC curve; CI, confidence interval; MRI, magnetic resonance imaging.</p
<p>The ROC curve was generated using the results obtained by analyzing 50 negative human serum sampl...
<p>The area under the curve (AUC) is 0.76, suggesting a strong ability to discriminate between true ...
The ROC curves in the training (A), internal validation (B) and external validation (C) groups. The ...
(A) Performance of the model in the training set, which showed an AUC value of 0.768, an optimal cut...
<p>Receiver operating characteristic (ROC) curves are a widely accepted indicator of diagnostic util...
Each variable’s AUC was 0.66 (95% CI; 0.60–0.71) and 0.64 (95% CI; 0.59–0.70), respectively. The dif...
<p>AUC: area under the receiver-operating characteristic curve.</p><p>Results of quantitative analys...
<p>Sensitivity and specificity values were obtained for increasing classification thresholds to prod...
a<p>AUC: Area Under the receiver operating characteristic (ROC) Curve.</p>b<p>Sens. and spec. are th...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
<p>Legends: AUC: area under the curve; S.E.: standard error; Sig.: significance level; CI: confidenc...
<p>Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) values for train...
Receiver Operating Characteristic (ROC) curve with the Area Under the Curve (AUC) value obtained on ...
<p>The area under the ROC (AUC) = 0.997 (95% confidence interval [CI] 0.991 to 1.000, <i>P</i><0.001...
<p>AUC, area under the ROC curve; CI, confidence interval; MRI, magnetic resonance imaging.</p
<p>The ROC curve was generated using the results obtained by analyzing 50 negative human serum sampl...
<p>The area under the curve (AUC) is 0.76, suggesting a strong ability to discriminate between true ...
The ROC curves in the training (A), internal validation (B) and external validation (C) groups. The ...
(A) Performance of the model in the training set, which showed an AUC value of 0.768, an optimal cut...
<p>Receiver operating characteristic (ROC) curves are a widely accepted indicator of diagnostic util...
Each variable’s AUC was 0.66 (95% CI; 0.60–0.71) and 0.64 (95% CI; 0.59–0.70), respectively. The dif...
<p>AUC: area under the receiver-operating characteristic curve.</p><p>Results of quantitative analys...
<p>Sensitivity and specificity values were obtained for increasing classification thresholds to prod...
a<p>AUC: Area Under the receiver operating characteristic (ROC) Curve.</p>b<p>Sens. and spec. are th...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
DOI
Add to ORKG