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Showing 1 to 20 of 92 for “"Receiver operating characteristic (ROC)"”.

  1. Hybrid Methods for Feature Selection

    … selection is one of the important data preprocessing steps in data mining. The feature selection problem involves finding a feature subset such that a classification model built only with this subset would have better predictive accuracy than model built with a complete set of features. In …

    wku-diss Repository record for Hybrid Methods for Feature Selection (opens in a new tab)

  2. Gradient Boosted Decision Tree Application to Muon Identification in the KLM at Belle II

    … range of 0.6 < p < 5.0 GeV/c by plotting Receiver Operating Characteristic (ROC) curves for 0.1 GeV/c intervals. The FBDT model was worse than the benchmark likelihood ratio test model for the whole momentum range during testing on Monte Carlo (MC) simulated data. This is seen in the lower …

    vt Repository record for Gradient Boosted Decision Tree Application to Muon Identification in the KLM at Belle II (opens in a new tab)

  3. The effect of lineup size on eyewitness identification accuracy

    Eyewitness identification via lineup procedures is an important and widely used source of evidence in criminal cases. However, the current scientific literature provides inconsistent guidance on a very basic question of lineup procedure: lineup size. Some of the ambiguity in the field may be due to …

    uiuc Repository record for The effect of lineup size on eyewitness identification accuracy (opens in a new tab)

  4. Biomarkers for Personalised Treatment Approach in Patients with Multiple Myeloma // Биомаркери за персонализиран подход при подбора на лечение при пациенти с миеломна болест

    … their potential as prognostic indicators. Receiver operating characteristic (ROC) curve analyses reveal that miR-199a-5p has high sensitivity (87.04%) for distinguishing MM patients from controls, whereas miR-126-5p exhibits balanced diagnostic accuracy. These findings support integrating …

    varna Repository record for Biomarkers for Personalised Treatment Approach in Patients with Multiple Myeloma // Биомаркери за персонализиран подход при подбора на лечение при пациенти с миеломна болест (opens in a new tab)

  5. Automated mammographic mass shape classification using wavelets and neural networks

    … classification system was studied using receiver operating characteristic (ROC) analysis. (Abstract shortened by UMI.).

    unlv Repository record for Automated mammographic mass shape classification using wavelets and neural networks (opens in a new tab)

  6. Dangerous predictions: evaluation methods for and consequences of predicting dangerous behavior

    … condition. The misuse of the area under the receiver operating characteristic (ROC) curve (AUC) is discussed, particularly when base rates are low. The biases associated with the AUC are examined with a recommendation that the positive and negative predictive values deserve more emphasis than …

    uiuc Repository record for Dangerous predictions: evaluation methods for and consequences of predicting dangerous behavior (opens in a new tab)

  7. Experimental evaluation of retroreflective markings on trains and grade crossings

    … was recorded and subsequently analyzed using the Receiver Operating Characteristic (ROC) based on Signal Detection Theory (SDT). The second experiment involved a driving task in which the subject encountered numerous grade crossings, and the recognition distance between the train and subject's …

    mit Repository record for Experimental evaluation of retroreflective markings on trains and grade crossings (opens in a new tab)

  8. Analysis of SELDI mass spectra for biomarker discovery and cancer classification

    … profiles are affected by sample storage and processing procedure. Two new peak alignment algorithms were proposed, one of which achieved the best performance when compared to the existing methods. The assumption of normality of SELDI protein profiles, on which the standard statistical methods …

    birmingham Repository record for Analysis of SELDI mass spectra for biomarker discovery and cancer classification (opens in a new tab)

  9. Blood Neutrophil-to-Lymphocyte Ratio predicts tumor recurrence in patients with hepatocellular carcinoma within Milan criteria after hepatectomy

    … 2011. The cutoff value of NLR was decided by receiver operating characteristic (ROC) curve analysis. Univariate and multivariate regression analysis were performed to identify predictive factors of recurrence and death. Results: A total of 213 patients were included in the present study. The …

    ajou Repository record for Blood Neutrophil-to-Lymphocyte Ratio predicts tumor recurrence in patients with hepatocellular carcinoma within Milan criteria after hepatectomy (opens in a new tab)

  10. Vergleich der Perfusionsdiagnostik mittels Magnetresonanztomographie mit dem invasiv bestimmten hämodynamischen Schweregrad von Koronarstenosen zur Detektion der hämodynamischen Relevanz von Stenosen der Koronararterien

    … of 92% and 92%, respectively. The area under the receiver-operating characteristic (ROC) curve was 0.97. In the patient group, territories supplied by arteries without significant stenosis (<50%) showed a lower MPR compared with the control group (p <0.0001), suggesting the presence of …

    aachen Repository record for Vergleich der Perfusionsdiagnostik mittels Magnetresonanztomographie mit dem invasiv bestimmten hämodynamischen Schweregrad von Koronarstenosen zur Detektion der hämodynamischen Relevanz von Stenosen der Koronararterien (opens in a new tab)

  11. Integration of Multidimensional Signal Detection Theory with Fuzzy Signal Detection Theory

    … ambiguity in the signal or response dimension characteristics, through the application of fuzzy set theory to the definition of the performance outcome categories. Multidimensional Fuzzy Signal Detection Theory (MFSDT) was developed to accommodate simultaneously both the multidimensionality of …

    ucf

  12. Detection of side-channel communication in a mobile ad-hoc network environment using the Hamming distance metric

    … well as the validity of F-Score itself such as: Receiver Operating Characteristic (ROC) curves, and Support Vector Machines.

    uoit Repository record for Detection of side-channel communication in a mobile ad-hoc network environment using the Hamming distance metric (opens in a new tab)

  13. Empirical Likelihood With Applications

    … to make inference for the Volume Under the ROC Surface (VUS) and the Hypervolume Under the ROC Manifold (HUM) measures, which are straight extensions of the Area Under the The Receiver Operating Characteristic (ROC) curve (AUC) for three-category and multi-category samples respectively. The …

    nus Repository record for Empirical Likelihood With Applications (opens in a new tab)

  14. Comparison of Acetazolamide-Challenged CT Perfusion with Acetazolamide-Challenged SPECT in Moyamoya Patients

    … compared with qualitative and quantitative CVRs. Receiver operating characteristic (ROC) curve analysis defined the threshold values of CTP parameters that best predict impaired qualitative CVR. The mean values of CTP parameters were significantly different between normal and impaired CVR groups. …

    ajou Repository record for Comparison of Acetazolamide-Challenged CT Perfusion with Acetazolamide-Challenged SPECT in Moyamoya Patients (opens in a new tab)

  15. Detection of defects in FRP-reinforced concrete with the acoustic-laser vibrometry method

    … level, and angle of incidence. A preliminary Receiver Operating Characteristic (ROC) curve was determined for the method, and future work involving the acoustic-laser vibrometry method is proposed.

    mit Repository record for Detection of defects in FRP-reinforced concrete with the acoustic-laser vibrometry method (opens in a new tab)

  16. Application of Unsupervised Machine Learning for Event Classification

    … method based on parametrizing the endpoints of a receiver operating characteristic (ROC) curve. To mitigate detector effects, which would otherwise induce unphysical differences between central and forward jets, we use the OmniFold method to perform central value unfolding. To our knowledge, this …

    mit Repository record for Application of Unsupervised Machine Learning for Event Classification (opens in a new tab)

  17. Psychometric properties of the intolerance of uncertainty : believability scale

    … in to a sample characterized by high worriers. Receiver-Operating Characteristic (ROC) analysis showed the IUS-B to be effective in identifying high worriers and may possible be a convenient measure of change in cognition through therapy. Keywords: Intolerance of uncertainty scale, believability …

    reykjavik Repository record for Psychometric properties of the intolerance of uncertainty : believability scale (opens in a new tab)

  18. Covariate-adjusted ROC regressions and the extensions in trend tests.

    … approach made use of the area under (AUC) the receiver operating characteristic (ROC) curve's diagnostic ability as a binary classifier for continuous outcomes. A generalized linear model (GLM) framework enabled one to investigate covariate effects to model the ROC using parametric and …

    baylor Repository record for Covariate-adjusted ROC regressions and the extensions in trend tests. (opens in a new tab)

  19. Assessment Of Memory Function And Effort Using The Wechsler Memory Scale - 4th Edition

    … and evaluate classification accuracy with receiver operating characteristic (ROC) curves. It was predicted that measures from within the WMS-IV would be able to reliably differentiate between actual and simulated TBI, and furthermore, between well simulated and poorly simulated TBI. The …

    wayne-thes Repository record for Assessment Of Memory Function And Effort Using The Wechsler Memory Scale - 4th Edition (opens in a new tab)

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