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Cutoff scores were selected by evaluating the receiver-operating characteristic curves.
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Prognostication of TAR and ATV was compared by evaluating the area under the receiver operating characteristic curve (AUC).
In addition, we compared the discriminatory ability of the CRP/Alb ratio with other inflammation-based prognostic scores by evaluating the area under the receiver operating characteristics curves (AUC), including the modified Glasgow Prognostic Score (mGPS), neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR).
The predictivity of our models was then evaluated by the receiver-operating-characteristics (ROC) curve, estmating the area under the curve (AUC).
Last, the performance of the predictive score was evaluated by the receiver operating characteristic curve (ROC) analysis.
Logistic regression was used for the development of the model, which was evaluated by the receiver operating characteristic (ROC) analysis.
The diagnostic value of the novel 38 F-64 F indirect ELISA assay was evaluated by the receiver operating characteristic (ROC) curve performed with the data from patients with active TB and 94 BCG-vaccinated healthy blood donors.
The prediction performance were evaluated by the receiver operating characteristic (ROC) curve, which is a plot of true positives as a function of false positives based on various thresholds, and the precision-recall (PR) curve, which is a plot of precision as a function of recall.
The overall performance of the model was assessed by drawing receiver operating characteristic (ROC) curve at different thresholds and by evaluating the area under the ROC curve (AUC).
Discrimination was evaluated by determining the receiver operating characteristic (ROC) curve, which is summarized by the area under the curve (AUC) alongside an approximate 95% confidence interval (CI).
The model discrimination was evaluated through the receiver operating characteristic area under the curve (AUC).
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