Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive value of resting heart rate for mortality in patients with AF&CHD. The analysis yielded an AUC 95% CI: 60.383% (57.0596% ~ 63.7064%), as shown in Supplementary Material 1. Fig. 1 Kaplan–Meier ...
Statistical analysis was done using SPSS version 23.0.ResultsThe results showed that BMI has the best predictive power to recognize the risk of elevated/stage 1 hypertension for female (area under the curve [AUC] = 0.72 and optimal cut-off = 30.10 kg/m2) and WC for male (AUC = ...
The area under the ROC curve (ROC AUC) provides a measure of the overall discriminative ability of a model. The ROC area and its standard error (SE) were estimated using the nonparametric approach (21). The ROC curves were constructed by applying the models to each individual patient. In ...
Statistical analysis was performed using SPSS Version 19. Group differences for age, BMI and stride duration were assessed using Student’s t-test. Differences for knee angle characteristics were assessed using ANOVA to compare controls and OA and non-OA knees in the patients. Receiver operator cha...
An equal number of landslide and non-landslide samples were selected to ensure a balance of positive and negative samples in the modelling dataset in SPSS Statistics software. Then, the LSIs of the recorded landslide samples were set to 1, whereas those of the randomly selected non-landslide ...
However, employees typically work not in isolation but in teams and units to achieve organizational goals. When individuals are exposed to the same work environment, do they also perceive the same OCs? Below, we present the concepts of perceptual congruence and shared reality to explain how ...
To better analyze the classification performance of each EEG frequency feature, the Receiver Operating Characteristic (ROC) curves depicted inFigure 6f represent emotion classification performance using EEG signals across different frequency bands. The ROC curve for the delta band demonstrates the highest ...
In Brazil, logging in the Seasonally Dry Tropical Forest (SDTF) under management plans that include clear-cutting has increased in recent decades, and the structure, composition, diversity and functioning of the forest likely must have been affected. The aim of this study was to understand the ...
ROC curve statistics revealed the following values: PIV (AUC 0.62; 95% CI: 0.51–0.73, p = 0.03, sensitivity 61%, specificity 58%), SII (AUC 0.60; 95% CI: 0.49–0.71, p = 0.04, sensitivity 61%, specificity 58%), NLR (AUC 0.61; 95% CI: 0.50–0.72, p = 0.04, sensitivity 66%...