Receiver-operating characteristic (ROC) analysis
Mammographic phantom images using receiver operating characteristic analysis
... image analysis methods to extract quantitative data more accurately in detection and diagnosis (Giger, ...2008). Receiver Operating Characteristic (ROC) analysis is one of the ...
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A Linear Regression Framework for the Receiver Operating Characteristic(ROC) Curve Analysis
... the receiver operating characteristic (ROC) curve is a common statistical tool for describing the performance of such tests ...The ROC curve is a plot of TPF(c ) versus FPF(c ) when the ...
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Diagnostic accuracy of capnovolumetry for the identification of airway obstruction – results of a diagnostic study in ambulatory care
... dioxide. Receiver operating characteristic (ROC) analysis was performed using the ratio of slopes of expiratory phases 3 and 2 (s3/s2) ≥ ...secondary analysis to identify further ...
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Original Article Pancreatic neuroendocrine neoplasms: computed tomography features and the correlation to pathological tumor grade
... margins, invasion outside the pancreas, malig- nancy, peripancreatic tissue or vascular inva- sion, lymphadenopathy and distant metasta- sis. Additionally, greater pancreatic duct dilata- tion and bile duct dilatation ...
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Derivation of dose/volume constraints for the anorectum from clinician and patient-reported outcomes in the CHHiP trial of radiotherapy fractionation
... bootstrapped receiver-operating-characteristic (ROC) analysis (1000 replicates, balanced outcomes) were used to derive dose constraints for the whole cohort (hypofractionated schedules ...
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Association of insulin-like growth factor-binding protein-3 with radiotherapy response and prognosis of esophageal squamous cell carcinoma
... Receiver operating characteristic (ROC) analysis was also performed with the protein marker to determine the cut- off scores for clinicopathologic ...use ROC analysis, the ...
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A robust 6-mRNA signature for prognosis prediction of pancreatic ductal adenocarcinoma
... regression analysis showed that 6-mRNA signature can be an independent prognostic marker in each of the ...cohorts. Receiver operating characteristic curve (ROC) analysis also ...
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Data Mining Based Receiver Operating Characteristic (ROC) for Fault Detection and Diagnosis in Radial Distribution System
... Applications of data mining for fault detection and diagnosis on power system have been carried out. One of them is used to identify congestion problem in transmission planning. The methodology allows to identify not ...
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The geriatric nutritional risk index independently predicts adverse outcomes in patients with pyogenic liver abscess
... regression analysis was adopted for determining probable predictors that showed relationship with the mortality and all adverse ...One receiver operating characteristic (ROC) curve was ...
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Conclusions : IPF value derived by the analyzer is a useful screening test to differentiate between thrombocytopenia with high or low
... IPF value was derived in all samples. Results were expressed as mean and 95% mean confidence interval (CI), unless differently indicated. Differences between groups were compared by means of the Student’s t-test. A ...
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MR Microscopy of the Parotid Glands in Patients with Sjögren’s Syndrome: Quantitative MR Diagnostic Criteria
... disease. Receiver operating characteristic (ROC) curve analysis demonstrated that quantitative MR imaging yielded high diagnostic ability in differentiating patients with xerostomia who ...
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Statistical Evaluation of Indicators of Diagnostic Test Performance
... (Receiver Operating Characteristic) analysis is being used as a method for evaluation and comparison of classifiers( Ferri et al, ...The ROC gives complete description of classification ...
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Co-expression network analysis identified FCER1G in association with progression and prognosis in human clear cell renal cell carcinoma
... network analysis was ...correlation analysis. Functional enrichment analysis revealed that biological processes of blue module focused on inflammatory response, immune response, chemotaxis (all p ...
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Original Article MicroRNA-217 in plasma: a potential biomarker in gastric cancer
... data. Receiver-operating characteristic (ROC) curve analysis was carried out to assess the diagnostic value of plasma miR-217 in GC, and COX regression analy- sis was performed to find ...
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The diagnostic usefulness of the basophil activation test (BAT) with annexin V in an allergy to Alternaria alternata
... Material and methods. Alternaria alternata allergic patients (n = 32) and healthy volunteers (n = 33) were evaluated using skin prick tests (SPT), quantification of specific IgE (sIgE) and the BAT. Basophil activation ...
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Rapid flood inundation mapping using social media, remote sensing and topographic data
... Receiver operating characteristic (ROC) and area under curve ROC (AUROC) analysis was used to assess the performance of the individual data sources derived from Landsat-8 MNDWI ...
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Detection of neuropathy using a sudomotor test in type 2 diabetes
... Statistical analysis was performed using analysis of variance to compare mean differences between the groups, as well as receiver operating characteristic (ROC) curves to ...
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Protein-coding genes combined with long noncoding RNA as a novel transcriptome molecular staging model to predict the survival of patients with esophageal squamous cell carcinoma
... survival analysis was performed to test the equality of survival distributions of different groups for each ESCC cohort, and statistical significance was assessed using the two-sided log-rank ...time-dependent ...
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The shortened disabilities of the arm, shoulder and hand questionnaire (Quick DASH): validity and reliability based on responses within the full length DASH
... disability, receiver operating characteristic (ROC) curves were constructed using change scores (baseline to follow-up) as the test variable and patients' responses to the global item ...
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On the feasibility of tilt test outcome early prediction using ECG and pressure parameters
... fluctuation analysis and sample entropy); second, using a multivariable nonlinear classifier (support vector machine); and finally, including additional physiological signals (stroke ...under receiver ...
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