Area under a ROC Curve
Generalization Bounds for the Area Under the ROC Curve
... We study generalization properties of the area under the ROC curve (AUC), a quantity that has been advocated as an evaluation criterion for the bipartite ranking problem. The AUC is a ...
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A modified Wald interval for the area under the ROC curve (AUC) in diagnostic case-control studies
... (ROC) curve and in particular the area under this curve, are appropriate for evaluating the overall accuracy of the diagnostic test ...The ROC curve is a plot of ...
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Area under ROC curve of energy detection over generalized fading channels
... the area under the ROC curve (AUC) ...the ROC curves since any determined probability of detection is valid for specific P f a values; ...
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Predictive factors of hysterectomy in the City of Ilam: The area under the receiver operating characteristic (ROC) curve model approach.
... Methods: A retrospective case-control study was conducted on 150 women including 75 in the control group and 75 as the case group. The cases were women with hysterectomy during 2009-2011, and the control group was ...
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Biomarker selection for medical diagnosis using the partial area under the ROC curve
... In the presence of multiple biomarkers, a traditional method of medical diagnosis is to fit a multiple logistic re- gression model to the data set. An example of this is the study of outcome prediction of aneurysmal ...
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Low mid-upper arm circumference identifies children with a high risk of death who should be the priority target for treatment
... greater area under the ROC curve than other anthropometric ...[41] ROC curve analyses do not distinguish statistically between WHZ and MUAC risks of death for many of the ...
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Correlation of Spot Urine Protein:Creatinine Ratio with 24-hour Urinary Protein in Preeclampsia: A Cross Sectional Study
... avoid under detection and over monitoring of patients ...analyzing ROC curves for significant (≥300 mg per 24- hours) proteinuria and severe (≥5,000 mg per 24- hours) proteinuria as ...an area ...
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What is an ROC curve?
... The area under the ROC curve (AUC) is a global measure of a test’s ability to discriminate whether a specific condition is present or not ...(unpublished) ROC curve for ACS ...
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Discrimination of Milk Adulterated with Urea Using Voltammetric Electronic Tongue coupled with PCA-LSSVM
... For this work, the area under the ROC curve is only 0.847 when response current data of the Pt electrode is adopted; the area under the ROC curve is 0.986 when the total response current[r] ...
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Rapid flood inundation mapping using social media, remote sensing and topographic data
... and area under curve ROC (AUROC) analysis was used to assess the performance of the individual data sources derived from Landsat-8 MNDWI and Flickr analysis, and the posterior probability ...
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Discrimination between Neoplastic and Nonneoplastic Brain Lesions by Use of Proton MR Spectroscopy: The Limits of Accuracy with a Logistic Regression Model
... the area under the ROC curve, Az, between the LR model and the other interpretations were examined with CORROC2 software ...in ROC curve area were considered signficant ...
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Validation of the Edinburgh Postnatal Depression Scale against both DSM 5 and ICD 10 diagnostic criteria for depression
... Background: The Edinburgh Postnatal Depression Scale (EPDS) is widely used in many countries to screen women for depression in the perinatal period. However, across studies the psychometric properties and cutoff scores ...
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Original Article Liver cirrhosis: evaluation by using proper hepatic artery to splenic artery diameter ratio and Gd-EOB-DTPA-enhanced MR
... (ROC) curve analysis was used to identify the optimal cutoff values and area under the curve (AUC) values which aimed to differentiate from patients with non-cirrhotic liver group, MELD ...
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Bipartite Ranking: a Risk-Theoretic Perspective
... Bipartite ranking problems (Freund et al., 2003; Agarwal et al., 2005; Clémençon et al., 2008; Kotlowski et al., 2011) have received considerable attention from the machine learning community. In such problems, we have ...
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Retinal Blood Vessel Tree Segmentation using Fast Marching Method
... In [6] a novel blood vessel segmentation algorithm was proposed using fundus images. This algorithm extracts the major blood vessels by applying high-pass filtering and morphological transforms followed by addition of ...
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Recognition and prediction of leukemia with Artificial Neural
... by roc and regression ...plot ROC curve, area under ROC curve was ...summery area under the ROC curve, performance of training and re- gression ...
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Estimation of auc for constant shape bi-weibull failure time distribution
... and Area Under the Constant Shape Bi-Weibull ROC Curve [16], Confidence Intervals Estimation for ROC Curve, AUC and Brier Score under the Constant Shape Bi-Weibull ...
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The geriatric nutritional risk index independently predicts adverse outcomes in patients with pyogenic liver abscess
... A few previous research has reported other values of prognosis for PLA [6, 7, 27], which included older age, in- creased serum creatinine and BUN, low hemoglobin and albumin levels, biliary origin’s liver abscess, ...
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The Application of Data Mining in the Production Processes
... the area under the curve ...high area under the curve (ROC), but this algorithm cannot deal with numerical data as a decision tree and its ensemble algorithms (Random ...
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Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models
... including age at diagnosis of these relatives. It does not consider family history of ovarian cancer, which may be of crucial importance for women with hereditary breast and ovarian cancer (HBOC). The BOADICEA model does ...
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