receiver operating characteristic curve


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Related to receiver operating characteristic curve: True positive

re·ceiv·er op·er·at·ing char·ac·ter·is·tic curve

1. a plot of percentage of true positive results versus percentage of false positive results, usually in a trial of a diagnostic test.
2. a graphic means of assessing the ability of a screening test to discriminate between healthy and diseased people.
Synonym(s): ROC curve

ROC curve

Receiver operating characteristic curve. A graphic depiction of the relationship between the true positive ratio (sensitivity) and false positive ratio (1) specificity as a function of the cut-off level of a disease or condition marker.
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Caption: Figure 4: The receiver operating characteristic curve analysis of creatine kinase MB within 4 h of onset of acute myocardial infarction
Receiver operating characteristic curve analysis of neutrophil to lymphocyte ratio to predict lupus nephritis showed that area under the curve was 0.76.
Caption: Figure 3: The receiver operating characteristic curve (ROC curve) between retroflex tongue and (a) NIHSS score values and (b) Barthel Index.
Receiver operating characteristic curve defined that cutoff point as 185 U/L, which means that if the CSF LDH level of a patient who is suspicious for SAH is more than 185 U/L, the diagnosis can be confirmed with 81% sensitivity (21 of 26 patients).
MicroRNA 125b-5p was upregulated the most in endometriosis patients and distinguished patients from controls with a "giant" area under the receiver operating characteristic curve value of 0.974, Dr.
[sup][17] The C statistic, which is equivalent to the receiver operating characteristic curve, for this model was 0.86.
To assess the utility of Neutrophil Gelatinase-associated Lipocalin measurements at varying cut-off values to predict indications for dialysis, a conventional receiver operating characteristic curve was generated and the area under the curve was calculated.
The area under the receiver operating characteristic curve for the MELD score was 0.612 [+ or -] 0.086 which was significantly lower than that for the [LHL.sub.15] ratio (0.800 [+ or -] 0.063, P <0.001; Figure 5), suggesting that the [LHL.sub.15] ratio was able to predict subsequent mortality more accurately than the MELD score.
Receiver operating characteristic curve analysis revealed that definition 1 had a sensitivity of 24.7% and a specificity of 90.5%, definition 2 had a sensitivity of 56.8% and a specificity of 76.2%, and definition 3 had a sensitivity of 95.1% and a specificity of 68.3%.
The area under the receiver operating characteristic curve, a measure of overall diagnostic accuracy, was 0.86.
The receiver operating characteristic curve for these 14 variables achieved an area under the curve (AUC) of 0.81; the AUC was 0.83 when externally validated in a separate live birth cohort.

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