• analysis
  • ROC curve analysis for predictability of pancreatic fistula according to the passage of postoperative days (A). A highest value of area under the curve (AUC) was obtained at postoperative day 6 (B). (nih.gov)
  • AUC of ROC analysis showed that drain pancreatic enzyme measurement POD 6 was the most appropriate diagnostic criterion for postoperative PF (Fig 1). (nih.gov)
  • The discriminative capacity of the 2 assays was comparable, even if total-anti-HBc performed better than IgM-anti-HBc (p = 0.212 and p = 0.062 for ROC analysis a and b respectively). (nih.gov)
  • ROC analysis provides tools to select possibly optimal models and to discard suboptimal ones independently from (and prior to specifying) the cost context or the class distribution. (wikipedia.org)
  • ROC analysis is related in a direct and natural way to cost/benefit analysis of diagnostic decision making. (wikipedia.org)
  • ROC analysis since then has been used in medicine, radiology, biometrics, forecasting of natural hazards, meteorology, model performance assessment, and other areas for many decades and is increasingly used in machine learning and data mining research. (wikipedia.org)
  • ROCCET's ROC curve generation and analysis is specifically tailored for metabolomics datasets. (wikipedia.org)
  • In the multivariate module one can choose between three different techniques - SVM (support vector machine), PLS-DA (partial least squares discriminant analysis) and Random Forests for classifying and selecting metabolites or clinical variables for an optimal ROC performance. (wikipedia.org)
  • The resulting analysis produces the top-performing multi-variable model(s) based on their ROC curve characteristics. (wikipedia.org)
  • diagnostic
  • Smooth of a ROC curve (sometimes the classification is based on a discrete scale (e.g. for a cancer diagnostic tool: "normal", "benign", "probably benign", "suspicious", "malignant") and smoothing methods fit a continuous curve based on the assumptions of the background distribution). (smart-statistics.com)
  • The index is defined for all points of an ROC curve, and the maximum value of the index may be used as a criterion for selecting the optimum cut-off point when a diagnostic test gives a numeric rather than a dichotomous result. (wikipedia.org)
  • Detection
  • The ROC curve was first developed by electrical engineers and radar engineers during World War II for detecting enemy objects in battlefields and was soon introduced to psychology to account for perceptual detection of stimuli. (wikipedia.org)
  • test
  • Use a ROC Curve to choose the most appropriate 'cut-off' for a test. (qimacros.com)
  • The closer the curve follows the left-hand border and then the top border of the ROC space, the more accurate the test. (unmc.edu)
  • A ROC curve starts at the (0,0) coordinate representing the case when all test results are negative and ends at (1,1) coordinate, representing that all test results are positive. (smart-statistics.com)
  • values
  • One feature of the rocsnr function is that you can specify a vector of SNR values and rocsnr calculates the ROC curve for each of these SNR values. (mathworks.com)
  • results
  • The resulting ROC curves from Resnik's and Robinson's measures give better results than those provided by PhenomeNET (Figure 6A). (nih.gov)
  • several
  • A ROC curve was built using the same reference set of inferred relationships between OMIM diseases that share one or several genes. (nih.gov)
  • equivalent
  • An alternative approach is to define the Gini coefficient as half of the relative mean absolute difference, which is mathematically equivalent to the Lorenz curve definition. (wikipedia.org)
  • space
  • A ROC space is defined by FPR and TPR as x and y axes, respectively, which depicts relative trade-offs between true positive (benefits) and false positive (costs). (wikipedia.org)
  • code
  • Since fbroc now has classes for ROC curves and they have been written in mind of me wanting to implement this feature, the amount of required work in the C++ section of the fbroc code was negligible. (epeter-stats.de)