Results 111 to 120 of about 478,663 (300)
AUC (Area Under Curve) values (mean±standard deviation) for the different connectivity methods. [PDF]
, 2013 AUC (Area Under Curve) values (mean±standard deviation) for the different connectivity methods.
Sergio Martinoia (299725) +3 more
core +1 more source
EM-AUC: A Novel Algorithm for Evaluating Anomaly Based Network Intrusion Detection Systems
SensorsEffective network intrusion detection using anomaly scores from unsupervised machine learning models depends on the performance of the models. Although unsupervised models do not require labels during the training and testing phases, the assessment of ...
Kevin Z. Bai, John M. Fossaceca
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Infectious Diseases and TherapyIntroduction Methicillin-resistant Staphylococcus aureus (MRSA) infections are a serious threat to public health. Vancomycin (VAN) remains the primary treatment for these infections, and achieving the recommended area under the curve (AUC) target has ...
Abdulwhab Shremo Msdi +2 more
doaj +1 more source
Journal of Education for Students Placed at Risk (JESPAR), 2019 Early Warning Systems (EWS) and Early Warning Indictors (EWI) have recently emerged as an attractive domain for states and school districts interested in predicting student outcomes using data that schools already collect with the intention to better time and tailor interventions.
Bowers, Alex J., Zhou, Xiaoliang
openaire +3 more sources
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Area under receiver operating characteristic (ROC) curve (AUC) of prediction models for IVF treatment outcomes. [PDF]
, 2018 Area under receiver operating characteristic (ROC) curve (AUC) of prediction models for IVF treatment outcomes.
Meng-Hsing Wu (811603) +8 more
core +1 more source
Rare-Event Risk-Based Bidding Strategy for Photovoltaic Systems in the Balancing Market
SolarThe increased deployment of photovoltaic (PV) technology has led to an increased demand for grid-balancing capacity owing to growing short-term variability and forecast uncertainty.
Jindan Cui +3 more
doaj +1 more source
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488. [PDF]
, 2019 Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.
Nadine Kraamwinkel (5018939) +3 more
core +1 more source