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 102 for “"ROC curve"”.
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Alarm for Autonomous UAV Radiation Mapping Algorithm
… 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 containing all spectrum data up to …
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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. …
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Covariate-adjusted ROC regressions and the extensions in trend tests.
… (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 semi-parametric regression methods. The …
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An enhanced feature selection technique for classification of group based holy Quran verses
… The textual data (Quranic verses) were preprocessed using StringtoWordVector with weighted Term Frequency-Inverse Document Frequency (TF-IDF). Meanwhile, the classification phase has involved four algorithms: Naïve Bayes (NB), k-Nearest Neighbor (k-NN), Support Vector Machine (LibSVM), and …
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Examining the Classification Accuracy of the Social, Academic, Emotional Behavior Risk Screener and Its Relationship with Writing Performance
… 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 not have any significant impairment …
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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 …
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Modeling Errors in Biometric Surveillance and De-duplication Systems
… 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 same ROC curve. Consequently, it is …
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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 …
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Screening for childhood anaemia using copper sulphate densitometry
… under the Receiver Operating Characteristic (ROC) curve for the haemoglobinometer was 0.94 (95%CI 0.87; 1), while the area under the curve for copper sulphate densitometry was 0.89 (95% CI 0.73; 1). Used together, the area under the ROC curve was 0.95 (95% CI 0.89; 1). In resource-poor …
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Username and password verification through keystroke dynamics
… of operating at various points on a traditional ROC curve depending on application specific security needs. A 1% False Accept Rate is attainable at a 14% False Reject Rate for high security systems. An Equal Error Rate of 5% can be obtained in lower security systems. As a username password …
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Large-scale acoustic scene analysis with deep residual networks
… Precision (mAP) of 0.392 and an area under ROC curve (AUC) of 0.971, surpassing the state-of-the-art without transfer learning from a large dataset. We also analyze the output activations of the network and find that the models are able to localize audio events when a finer time resolution …
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Dépistage précoce du diabète gestationnel
… with optimal sensitivity and specificity using ROC curve. 2) To determine if GCT during the first trimester of pregnancy is an independent predictor of GDM diagnosed at 24-28 weeks gestation. Methods. This is a prospective cohort study. Women were recruited at their first prenatal visit. …
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Occluson Pattern in Circle of Willis: Prognostic Marker for Endovascular Treatment in Acute Carotid Terminus Occlusion
… model and receiver operating characteristic (ROC) curve. RESULTS: Of 54 patients, 33 patients were included in MCA only group, while 21 patients were grouped as MCA plus group. Age (72.6±11.0 vs 66.1±13.2, p=0.066) and median NIHSS score at presentation [16 (14–18)vs 19 (18–22), p=0.006) were …
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Clinical Significance of Pattern of Memory Deficits in Amnestic Mild Cognitive Impairment
… model and receiver operating characteristic (ROC) curve. RESULTS: Of 54 patients, 33 patients were included in MCA only group, while 21 patients were grouped as MCA plus group. Age (72.6±11.0 vs 66.1±13.2, p=0.066) and median NIHSS score at presentation [16 (14–18)vs 19 (18–22), p=0.006) were …
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Outcome prediction in intensive care with special reference to cardiac surgery
… under the receiver operating characteristic (ROC) curve. The derived model had an area under the ROC curve 0.87, while the Parsonnet score had an area of 0.82 and the APACHE II risk of dying 0.84. It was concluded that a combination of intraoperative and postoperative variables can improve …
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Biomarkers for Personalised Treatment Approach in Patients with Multiple Myeloma // Биомаркери за персонализиран подход при подбора на лечение при пациенти с миеломна болест
… 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 miR profiling into clinical practice …
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Problems related to efficacy measurement and analyses
… methods 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 …
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Diagnostic efficiency of the computerized PTSD scale – multimedia version (CPS-M) in assessing posttraumatic stress disorder
… and scale effect sizes were negligible. ROC curve analysis for the CPS-M revealed high diagnostic accuracy. These results present a strong case for more widespread use of the CPS-M in the assessment of PTSD.</p>
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Predicting 30-Day Unplanned ICU Readmissions Using Deep Learning and Natural Language Processing Techniques: A MIMIC IV Data Analysis
… text data consisting of patients’ diagnoses, procedures, and discharge notes and further engineered using several methods, including Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), and word embeddings.</p> <p>We sequentially implement three distinct Dense Neural Networks …
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일개대학 병원에서Simplified Acute Physiologic Score II 를 이용한 급성 파라콰트 중독환자의 예후 예측
… (SIPP) 모두 통계적으로 유의 있게 높은 것으로 나왔다. 사망 예측 능력에 대한 ROC curve 분석에서는 SAPS II (AUC = 0.82, 95% CI = 0.705 – 0.904)는 통계학적으로 유의하게 나타났다. SAPS II와 비교하여 각각 혈중 파라콰트 농도(AUC = 0.896, 95% CI = 0.796 – 0.958)와 SIPP (AUC = 0.865, 95% CI = 0.758 – 0.937)의 예측력 차이는 없었다. 결론 : 급성 파라콰트 중독으로 입원한 환자에서 혈중 파라콰트 농도는 예후 예측에 …
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