Assessment of Sonoelastography as Diagnosis Tool of Inflammatory Myopathies [PDF]
Background: Inflammatory myopathies represent a special group of pathology. Establishing the correct diagnosis in the early phase and a better follow-up are the main objective for improving the life quality of these patients.
Carolina BOTAR-JID +6 more
doaj
Receiver operating characteristic (ROC) curve analyses.
The ROC plots for CEA (A), CA153 (B), CA125 (C) and the combination of CEA and CA153 (D) were used to differentiate breast cancer from benign disease. AUC, area under the receiver operating characteristic curve; CI, confidence interval.
Yu Mei (847605) +4 more
core +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
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
Image saliency detection based on geodesic‐like and boundary contrast maps
Image saliency detection is the basis of perceptual image processing, which is significant to subsequent image processing methods. Most saliency detection methods can detect only a single object with a high‐contrast background, but they have no effect on
Yingchun Guo, Yi Liu, Runxin Ma
doaj +1 more source
Receiver operating characteristic (ROC) curve for DHI scoring.
Receiver operating characteristic (ROC) curve for DHI scoring.
Amrish Saxena (385400) +1 more
core +1 more source
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
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
On Boundary Correction in Kernel Estimation of ROC Curves
The Receiver Operating Characteristic (ROC) curve is a statistical tool for evaluating the accuracy of diagnostics tests. The empirical ROC curve (which is a step function) is the most commonly used non-parametric estimator for the ROC curve.
Jan Koláček, Rohana J. Karunamuni
doaj +1 more source
Non Parametric Confidence Intervals for Receiver Operating Characteristic Curves [PDF]
We study methods for constructing confidence intervals, and confidence bands, for estimators of receiver operating characteristics. Particular emphasis is placed on the way in which smoothing should be implemented, when estimating either the ...
Rob J. Hyndman, Yanan Fan, Peter G. Hall
core
Nonparametric Predictive Inference for Ordinal Data and Accuracy of Diagnostic Tests [PDF]
This thesis considers Nonparametric Predictive Inference (NPI) for ordinal data and accuracy of diagnostic tests. We introduce NPI for ordinal data, which are categor- ical data with an ordering of the categories.
ALI, FAIZA,FARAG
core
Receiver operating characteristic curve (ROC) of P. tatarinowii.
Receiver operating characteristic curve (ROC) of P. tatarinowii.
Yulin Yang (839480) +5 more
core +1 more source

