ROC curve


Also found in: Dictionary, Thesaurus, Encyclopedia.

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.

curve

(kurv) [L. curvus, bent, crooked]
A bend, chart, or graph.

bell curve

Normal distribution.

curve of Carus

See: curve of Carus

characteristic curve

Sensitometric curve.

dental curve

Curve of Spee.

D log E curve

Sensitometric curve.

dose response curve

A graph charting the effect of a specific dose of drug, chemical, or ionizing radiation.

dye-dilution curve

A graph of the disappearance rate of a known amount of injected dye from the circulation; used to measure cardiac function.

epidemic curve

A chart or graph in which the number of new cases of an illness is plotted over time.

Gaussian curve

Normal distribution.

growth curve

A graph of heights and weights, head circumference, and body mass index of infants and children of various ages. A line connecting the data points produces the curve. Usually the changes in height and weight are shown on the same chart. Growth charts are specific for age and gender.

learning curve

The effect of learning or practice on the performance of an intellectual or physical task. The term describes the acquisition of competence with experience, time, and training.

normal curve

Normal distribution.

receiver operating curve

Abbreviation: ROC curve
A plot of the fraction of true positives test results versus the fraction of false positive test results; the sensitivity of a test versus (1-the test specificity).
Synonym: receiver operating characteristic

sensitometric curve

In radiographic film analysis, the curve derived by graphing the exposure to the film versus the film density. Analysis yields information about the contrast, speed, latitude, and maximum and minimum densities of the film or film-screen system. Digital radiography systems exhibit linear curves.
Synonym: characteristic curve; D log E curve; Hurter and Driffield curve

curve of Spee

See: curve of Spee

Stephan curve

See: Stephan curve

survival curve

In radiobiology, a dose response curve.

time-temperature cooling curve

The mathematical relation that plots the physical and chemical behaviors of dental (and other) materials as their temperature decreases over time.

receiver operating curve

Abbreviation: ROC curve
A plot of the fraction of true positives test results versus the fraction of false positive test results; the sensitivity of a test versus (1-the test specificity).
Synonym: receiver operating characteristic
See also: curve
Mentioned in ?
References in periodicals archive ?
The average and difference in AUC of the ROC curve for each scoring method after rescoring are presented in Tables 2 and 3, respectively.
Correlation between Virtual Screening Performance and Binding Site Descriptors of Protein Targets
Instead, we defined the [greater than or equal to] 3mmHg criterion based on the ROC curve, corresponding to the point of greatest sensitivity and specificity.
Oral Fludrocortisone Test for Salt-Sensitive Screening in Hypertensive Patients: A Randomized Crossover Trial
Caption: FIGURE 2: ROC curve of ROMA divided into premenopausal and postmenopausal groups.
Assessment of Diagnostic Values among CA-125, RMI, HE4, and ROMA for Cancer Prediction in Women with Nonfunctional Ovarian Cysts
Caption: Figure 3: ROC curve AUC range for prediction of pCR.
Prediction of Chemoresistance in Women Undergoing Neo-Adjuvant Chemotherapy for Locally Advanced Breast Cancer: Volumetric Analysis of First-Order Textural Features Extracted from Multiparametric MRI
The ROC curve is a measure that evaluates the performance of a classification method.
A Novel Multiscale Gaussian-Matched Filter Using Neural Networks for the Segmentation of X-Ray Coronary Angiograms
In this study, we identified the best combinations using five serological markers for lung cancer screening in different populations and calculated the cutoff ranges of the best combinations by combining ROC curve and logistic regression analyses.
Identifying the Best Marker Combination in CEA, CA125, CY211, NSE, and SCC for Lung Cancer Screening by Combining ROC Curve and Logistic Regression Analyses: Is It Feasible?
Specifically addressing this point, the ROC curve analysis showed an area under the curve of 0.648 (95% CI: 0.559-0.730, p=0.0023) with an optimal cutoff value of 0.638 ng/mL (not shown in Figure 1).
Beta-2 Microglobulin in Whole Unstimulated Saliva Can Effectively Distinguish Between Sjogren's Syndrome and Non-Autoimmune Sicca Symptoms
Statistical indicators for ROC curves of each test Area under Standard 95% Confidence the curve error interval FL test 1.0 0 0.940-1.0 TBUT test 0.772 0.061 0.645-0.870 Schirmer 0.817 0.055 0.696-0.905 test Lissamine 0.813 0.056 0.691-0.902 green test FL = fluorescein test; TBUT = tear break-up time test Table 4.
SENSITIVITY OF DIAGNOSTIC TESTS FOR DRY EYE IN PATIENTS WITH BLEPHAROSPASM
The area under the ROC curve for splenic diameter in our study was found to be 0.779.
Platelet count to splenic diameter ratio and other noninvasive markers as predictors of esophageal varices in patients with liver cirrhosis
The optimum cut-off point can be detected using ROC curve, which is a graphic presentation of the relationship between sensitivity and specificity.
ROC Analizine Bir Aecenek: LOWESS Yontemi/An Alternative to ROC Analysis: LOWESS
The MME cut-off value for knee pain was 4.3 mm on ROC curve analysis, with sensitivity of 0.8451 and specificity of 0.8502 (Figure 2).
Cut-Off Value of Medial Meniscal Extrusion for Knee Pain
(ii) The Receiving Operator Characteristic (ROC) curve over all predictions: the predicted values from all models in the validation were stored in a single vector, the same was done with the observed values, and the ROC curve was computed using these vectors as input.
Comparison of Attenuated Total Reflectance Mid-Infrared, Near Infrared, and [sup.1]H-Nuclear Magnetic Resonance Spectroscopies for the Determination of Coffee's Geographical Origin

Medical browser ?
Full browser ?