area under 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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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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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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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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What is an ROC curve?
... the area under the ROC curve, sensitivity and ...the ROC analysis is conducted and why it is an essential step towards developing a test with the desirable levels of sensitivity and ...
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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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Correlation of Spot Urine Protein:Creatinine Ratio with 24-hour Urinary Protein in Preeclampsia: A Cross Sectional Study
... Sensitivity, specificity, predictive values of random urine P:C ratio at various cut-off values were evaluated using 24 hour urine total protein level as the gold standard. A receiver operator characteristics ...
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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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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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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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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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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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Stevens–Johnson syndrome/toxic epidermal necrolysis and erythema multiforme drug-related hospitalisations in a national administrative database
... culprit drugs within these groups, the latter include drugs that have frequently been previously described to be associated with SCARs, such as allopurinol, and lamo- trigine [14, 15]. After adjusting for the number of ...
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The Application of Data Mining in the Production Processes
... Abstract: Traditional statistical and measurements are unable to solve all industrial data in the right way and appropriate time. Open markets mean the customers are increased, and production must increase to provide all ...
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Predictive factors of hysterectomy in the City of Ilam: The area under the receiver operating characteristic (ROC) curve model approach.
... Data were analyzed using SPSS software, version 17 for windows (IBM Inc., NY, US).Frequency, mean and standard deviation (SD) were used to describe data. To compare age, number of pregnancy in case and control groups ...
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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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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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Quantitative approach using multiple single parameters versus visual assessment in dobutamine stress echocardiography
... Methods: Prospective analysis included data of 151 patients (age 61.8 ± 9.2) who underwent dobutamine stress echocardiography for known (n = 35) or suspected coronary artery disease (CAD) (n = 36) or symptomatic chest ...
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