Results 221 to 230 of about 280,956 (255)

Receiver Operating Characteristic (ROC) Curves: The Basics and Beyond

Hospital Pediatrics
Diagnostic tests and clinical prediction rules are frequently used to help estimate the probability of a disease or outcome. How well a test or rule distinguishes between disease or no disease (discrimination) can be measured by plotting a receiver operating characteristic (ROC) curve and calculating the area under it (AUROC).
Pearl W, Chang, Thomas B, Newman
openaire   +2 more sources

Receiver Operating Characteristic (ROC) in Nondestructive Inspection

1994
A suitable and objective method to investigate the performance of inspection systems is the Receiver Operating Characteristic (ROC) which is based on the general theory of signal detection. All diagnostic systems include the task of separating a signal from a background of noise.
C. Nockemann, G.-R. Tillack, H. Wessel, H. Heidt, V. Konchina   +4 more
openaire   +1 more source

Receiver Operating Characteristic (ROC) Analysis

2009
Receiver Operating Characteristic (ROC curves) have been used for years in decision making from signals, such as radar or radiology. Basically they plot the hit rate versus the false alarm rate. They were introduced recently in data mining and machine learning to take into account different misclassification costs, or to deal with skewed class ...
openaire   +1 more source

Statistical Approaches to the Analysis of Receiver Operating Characteristic (ROC) Curves

Medical Decision Making, 1984
In this article we review published and some unpublished work in statistical analyses of ROC curves. We describe both single and joint indices and indicate the approaches that have been taken to consider between-reader variations and correlations, within-reader variations, and variations and correlations between cases.
B J, McNeil, J A, Hanley
openaire   +2 more sources

Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching

Computers & Chemistry, 1996
In this paper, we borrow the idea of the receiver operating characteristic (ROC) from clinical medicine and demonstrate its application to sequence comparison. The ROC includes elements of both sensitivity and specificity, and is a quantitative measure of the usefulness of a diagnostic. The ROC is used in this work to investigate the effects of scoring
Michael Gribskov, Nina L. Robinson
openaire   +2 more sources

ROC with confidence — a Perl program for receiver operator characteristic curves

Computer Methods and Programs in Biomedicine, 2001
Receiver operator characteristic (ROC) curves are recommended to assess the diagnostic value of tests depending on a single cut-off value of a continuous variable. These ROC curves show the true-positive rate (sensitivity) against the false-positive rate (1-specificity).
openaire   +2 more sources

ROC-ing along: Evaluation and interpretation of receiver operating characteristic curves

Surgery, 2016
It is vital for clinicians to understand and interpret correctly medical statistics as used in clinical studies. In this review, we address current issues and focus on delivering a simple, yet comprehensive, explanation of common research methodology involving receiver operating characteristic (ROC) curves. ROC curves are used most commonly in medicine
Jane V, Carter, Jianmin, Pan, Shesh N, Rai, Susan, Galandiuk   +3 more
openaire   +2 more sources

Receiver Operating Characteristic (ROC) Analysis for Characterizing Synaptic Efficacy

Journal of Neurophysiology, 2007
The role of background synaptic activity in cortical processing has recently received much attention. How do individual neurons extract information when embedded in a noisy background? When examining the impact of a synaptic input on postsynaptic firing, it is important to distinguish a change in overall firing probability from a true change in ...
openaire   +2 more sources

On the Consistent Estimation of Optimal Receiver Operating Characteristic (ROC) Curve

Advances in Neural Information Processing Systems 35, 2022
Renxiong Liu, Yunzhang Zhu
openaire   +2 more sources

The effect of random measurement error on receiver operating characteristic (ROC) curves

Statistics in Medicine, 2000
In this paper confidence intervals for the area under the ROC curve are adjusted for the presence of measurement error. A parametric normal model is assumed. The ratio of intra-individual to inter-individual variance provides a relative measure of the amount of measurement error. An exact adjusted confidence interval is developed for the equal variance
openaire   +2 more sources