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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ROC curve

References in periodicals archive ?

Caption: Figure 4: The receiver operating characteristic curve analysis of creatine kinase MB within 4 h of onset of acute myocardial infarction

Comparative status of glycogen phosphorylase BB, myoglobin, and CK-MB for early diagnosis 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.

Neutrophil to lymphocyte ratio and mean platelet volume as inflammatory indicators in systemic lupus erythematosus nephritis

Caption: Figure 3: The receiver operating characteristic curve (ROC curve) between retroflex tongue and (a) NIHSS score values and (b) Barthel Index.

The Relationship between Ischemic Stroke Patients with and without Retroflex Tongue: A Retrospective Study

Receiver Operating Characteristic Curve Analysis for Prediction of Surgery Done in Relation to TLICS Score

ROLE OF THORACOLUMBAR INJURY CLASSIFICATION AND SEVERITY SCORE (TLICS) SYSTEM IN DIAGNOSTIC AND PROGNOSTIC EVALUATION OF THORACOLUMBAR SPINAL TRAUMA USING CT AND MRI

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).

Determining the Value of Cerebrospinal Fluid Lactate Dehydrogenase Level in Differentiating Subarachnoid Hemorrhage From Traumatic Lumbar Puncture

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.

MicroRNA biomarkers show promise in chronic endometriosis

[sup][17] The C statistic, which is equivalent to the receiver operating characteristic curve, for this model was 0.86.

Sequential Vein Bypass Grafting is Not Associated with an Increase of Either In-hospital or Mid-term Adverse Events in Off-pump Coronary Artery Bypass Grafting

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 value of serum NGAL in determination of dialysis indication

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.

Asialoglycoprotein receptor scintigraphy with [sup.99m]Tc-galactosyl human serum albumin ([sup.99m]Tc-GSA) as an early predictor of survival in acute liver failure

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%.

Study uncovers asthma exacerbation predictor

The area under the receiver operating characteristic curve, a measure of overall diagnostic accuracy, was 0.86.

Fever, weightbearing, sedimentation rate best for diagnosing hip infection

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.

Model Fails to Predict Risk for Maternal ICU Admission; Model intended to predict admission to maternal ICU based on cumulative effect of multiple risk factors