Results 71 to 80 of about 127,975,471 (298)
Receiver Operating Characteristic (ROC) curve with the Area Under the Curve (AUC) value obtained on our test set. (TIF)
Lukas Schmidt (13844066) +4 more
core +1 more source
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma +16 more
wiley +1 more source
Background Understanding the response of vector habitats to climate change is essential for vector management. Increasingly, there is fear that climate change may cause vectors to be more important for animal husbandry in the future. Therefore, knowledge
Paradzayi Tagwireyi +2 more
doaj +1 more source
Area under the ROC curve of the predictive model.
ROC, receiver operating characteristic; AUC, area under the curve; CI, confidence interval.
Vicente Francisco Gil-Guillén (741478) +3 more
core +1 more source
Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin +8 more
wiley +1 more source
Background Sample size determination for area under the curve (AUC) comparisons in diagnostic accuracy studies requires the consideration of multiple methodological parameters. The type of diagnostic test, the nature of the data (discrete or continuous),
Busra Emir +6 more
doaj +1 more source
The importance of the area under the normal curve (AUC) as a measure of the effect size (ES) in applied and forensic research has been highlighted in several articles and Tables for converting the AUC curve into Pearson’s rpb and Cohen’s d have been ...
Jesús F. Salgado
doaj +1 more source
ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau +11 more
wiley +1 more source
EM-AUC: A Novel Algorithm for Evaluating Anomaly Based Network Intrusion Detection Systems
Effective 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
Estimating the Area under a Receiver Operating Characteristic Curve For Repeated Measures Design [PDF]
The receiver operating characteristic (ROC) curve is widely used for diagnosing as well as for judging the discrimination ability of different statistical models.
Honghu Liu, Tongtong Wu
core

