Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 43 for “"Receiver Operating Characteristic(ROC) Curve"”.
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
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. …
-
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.
-
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 …
-
Infection with MCPyV, KIV, WUV, and HPV as potential risk factors for lung cancer
… deviations; and the optimal value based upon receiver operating characteristic (ROC) curve analysis. We also applied these models, and data visualizations (kernel density plots, ROC curves, predicted probability plots, Q-Q plots), to empirical data evaluating the association between HPV16 L1 …
-
An improved algorithm for iris classification by using support vector machine and binary random machine learning
… learning branch that can used in classification procedures for data mining. Those branch are consist of supervised learning, unsupervised learning and reinforcement learning. This study focuses on supervised learning that seek to classify all the Iris dataset respect to three species (setosa, …
-
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 …
-
Likelihood Ratio Combination of Multiple Biomarkers and Change Point Detection in Functional Time Series
… is essential to maximize the Area Under the Receiver Operating Characteristic (ROC) Curve (AUC). The optimality of the likelihood ratio has been proven but the challenges persist in estimating the likelihood ratio, primarily on the estimation of multivariate density functions. In this study, …
-
Examining the Classification Accuracy of the Social, Academic, Emotional Behavior Risk Screener and Its Relationship with Writing Performance
… This study also evaluated the area under the receiver operating characteristic (ROC) curve of the SAEBRS and CBM-WE for identifying students at-risk for writing achievement deficits. A convenience sample of 147 third-grade general education students across two schools, who were determined to …
-
The Modified Rapid Emergency Medicine Score: A Novel Trauma Triaging Tool for Predicting In-hospital Mortality
… to other trauma scores using the area under the receiver operating characteristic (ROC) curve. Results: The mREMS score (AUC 0.97) was demonstrated to be higher than RTS (AUC 0.96), ISS (AUC 0.78), MGAP (AUC 0.96), and SI (AUC 0.67) in predicting in-hospital mortality. Discussion: In the trauma …
-
Alarm for Autonomous UAV Radiation Mapping Algorithm
… collection used either ¹³⁷Cs or ⁶⁰Co sources. Receiver operating characteristic (ROC) curve analysis demonstrated that alarm methods setting a threshold on narrower energy bins were less sensitive than methods using the full spectrum count rate, while the most sensitive method was to use bins …
-
RESONANT: Reinforcement Learning Based Moving Target Defense for Detecting Credit Card Fraud
… accuracy using AUC (i.e., Area Under the Curve of the Receiver Operating Characteristic (ROC) curve) and system security against attacks using attack success ratio (ASR).
-
Condition monitoring of pharmaceutical powder compression during tabletting using acoustic emission
… and lamination during powder compression process using the acoustic emission (AE) method. Pharmaceutical tablet manufacturers obliged by regulatory bodies to test the tablet's physical properties such as hardness, dissolution and disintegration before the tablets are released to the market. …
-
Adaptive Functioning and Autism Spectrum Disorder Symptom Severity in Childhood: Parent Perception vs Clinician Rating
Autism Spectrum Disorder (ASD) is a neurocognitive developmental disorder that impacts over one percent of the population. As of 2016, one in 64 children were diagnosed with ASD by four years of age, with males receiving the diagnosis 3.5 times more often than females (Shaw et al. 2020). Research …
-
Modeling Errors in Biometric Surveillance and De-duplication Systems
… model that explains the relationship between the Receiver Operating Characteristic (ROC) curve and the Cumulative Match Characteristic (CMC) curve of a closed-set biometric system. The phenomenon of biometrics menagerie is used to explain the possibility of deducing multiple CMC curves from the …
Page 1 of 3