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.
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Showing 1 to 20 of 76 for “"Receiver operating Characteristic curve"”.
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Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk
… increases to the cross-folded area under the receiver operating characteristic curve while maintaining model parsimony. Finally, we extend our model with John C. Platt's method to support non-binary outcomes in order to augment clinical relevancy.
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Serum markers for predicting significant necroinflammatory activity in patients with chronic hepatitis B
… score + 0.677 × HA score 1.962. The area under receiver operating characteristic curve of the SI score was 0.831. The sensitivity, specificity, positive predictive value and negative predictive value of the SI score were 79.5%, 70.8%, 76.8% and 74.3%, respectively. CONCLUSIONS: A simple scoring …
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Sample Size Formulas For Estimating Areas Under the Receiver Operating Characteristic Curves With Precision and Assurance
The area under the receiver operating characteristic curve (AUC) is commonly used to quantify the discriminative ability of tests with ordinal or continuous test data. When planning a study to evaluate a new test, it is important to determine a minimum sample size required to achieve a prespecified …
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Detecting basal cell carcinoma in skin histopathological images using deep learning
… level classifiers obtained an area under the receiver operating characteristic curve (AUC) of 0.981. Finally, we used our patch classifiers to generate a bag of scores for a given whole slide image (WSI), and attempted multiple ways of combining these scores to produce a single significant …
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On the performance of convolutional neural networks initialized with Gabor filters.
… there is a boost in accuracy, Area Under ROC (Receiver Operating Characteristic) Curve (AUC), minimum loss, and speed in some cases based on the complexity of the dataset.
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Problems related to efficacy measurement and analyses
… can be applied to the estimation of the ROC (Receiver Operating Characteristic) curve as well as to the implementation of nonparametric regression of ROC. The area under the ROC curve (AUC), which is exactly equal to the quantity P(Y>X), is also explored in this dissertation. The methodology …
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A comparative analysis of machine learning algorithms for genome wide association studies
… is calculated in terms of area under the receiver operating characteristic curve (AUC). Conclusively, the logistic regression model with binary classification seems to be the most promising one among the other four algorithms, as it outperformed the other tools in the AUC value.
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Image Classification using Gabor Filters and Machine Learning
… metrics to discern class separation and use the receiver operating characteristic curve to determine an optimum classification threshold. We then build upon our Gabor representation technique by proposing two additional classification methods based on naive Bayes’ and support vector machine …
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Using electronic methods of adherence monitoring and therapeutic drug monitoring (TDM) to eliminate discordance between antiretroviral adherence and virological failure
… was compared by calculating the area under the receiver operating characteristic curve, from logistic regression models. The impact of efavirenz concentration and CYP2B6 metaboliser genotype data on failure was examined using Cox proportion hazard modelling; and the most predictive lower limit …
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Selecting the best model for predicting a term deposit product take-up in banking
… predictive performance through the use of the receiver operating characteristic curve, confusion matrix, GINI, kappa, sensitivity, specificity, and lift and gains charts. A multivariate adaptive regression splines model built on over-sampled data is found to be the best model for predicting …
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Geni modificatori della Beta talassemia e sviluppo di un algoritmo per la predizione della severità clinica
… transfusion dependency status (Area Under the Receiver Operating Characteristic Curve=0.774, <0.001). Finally, an automatized online calculation of the score was made available at http://tss.unica.it. Besides the accurate assessment of genetic predictors effect, the presented results could be …
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Preventing Opioid Overdose: From Prediction to Operationalization
… events, and achieve an area under the receiver operating characteristic curve of 0.95, 0.87, 0.83 for the outcomes of any adverse opioid event, opioid overdose, and fatal opioid overdose, respectively, even in the absence of training data on fatal overdoses. Subsequently, we conduct a …
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Predicting Suicide Risk Among Youths Using Machine Learning Methods
… need for clinical diagnosis due to the intrinsic characteristics of datasets. In this study, I perform a comparative study of six classification algorithms including naïve Bayes (NB), logistic regression (LR), multilayer perceptron (MLP), AdaBoost (Ada), random forest (RF), and bagging using YRBSS …
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Problem dependent metaheuristic performance in Bayesian network structure learning.
… A classifier method is constructed by utilizing receiver operating characteristic curve with the results on fitness landscape analysis; and finally (e) a selective o -line hyperheuristic algorithm is built for unseen BN structure learning with search and score algorithms. In this thesis, we also …
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Appropriate Waist Circumference Cutoff Values for the Diagnosis of Metabolic Syndrome in Mexican American Adults
… and without the modified waist circumference. Receiver operating characteristic curve analysis suggested that yielding at least 80% sensitivity, the WC value of 90 cm in both genders was more appropriate in predicting the presence of two or more metabolic syndrome risk factors in this …
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AI-based analysis of cerebral oxygenation in preterm and term infants
… adverse outcomes, achieving an area under the receiver operating characteristic curve (AUC) of 0.846 for IVH detection in preterm infants. Additionally, machine learning models revealed a significant association between rcSO2 patterns and adverse outcomed assessed by MRI, with AUC values …
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A Novel Artificial Intelligence-Driven Technique for Enhancing Medical Imaging Technologies to Aid Diagnosis of Non-Small Cell Lung Cancer
… accuracy of 97.1% and an Area Under the Receiver Operating Characteristic Curve (AUC-ROC) of 95.7% on a test dataset of 140 patients.
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Inter-alpha-trypsin inhibitor heavy chain H4 as a diagnostic and prognostic indicator in patients with hepatitis B virus-associated hepatocellular carcinoma
… (mean: 92.86 DU) (P <0.001). The area under the receiver operating characteristic curve was 0.71 for the diagnosis of HCC in patients with HBV-related liver disease. Multivariate Cox regression analysis showed that large tumor size (>5 cm) was independently associated with overall survival …
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Radiological predictors of PCP in HIV-positive adults in South Africa: a matched case-control study
… performed well in predicting PCP (area under the receiver operating characteristic curve 0.828 (hypoxia model) and 0.857 (respiratory rate model). Conclusions: CXR evaluation alongside bedside clinical information offers good accuracy for discriminating definite PCP from other HIV-associated …
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Metal culvert renewal prioritization framework development: A study for Saskatchewan Highways
… metrics including the area under the ROC (Receiver Operating characteristic) curve, percentage of correct predictions (PCP), confusion matrix, accuracy, precision, recall, and F1 score. The results of the study indicate that the artificial neural network optimized by genetic algorithm …
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