<p>(a: cutoff value = 4.0, sensitivity = 82.11%, specificity = 96.91%; b: cutoff value = 2.0, sensitivity = 77.27%, specificity = 91.12%).</p
<p>ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...
<p>AUC of ROC curve for the prediction of mortality at the time of CRRT application.</p
<p>ROC curve for predicted mortality from GRACE risk alone and combination of GRACE risk with previo...
<p>(a: cutoff value = 3.0, sensitivity = 79.38%, specificity = 87.50%; b: cutoff value = 4.0, sensit...
<p>AUC area under curve by Hanley method to calculate standard errors, CI 95% confidential intervals...
<p>The optimal cutoff values for each plasma biomarker level and the severity scores are presented. ...
<p>The x-axis is the false- positive rate, 1 –specificity; the y-axis is the true- positive rate, se...
<p>ROC Curves for the Prediction of Death for the WH Indicators (WH% and WHZ) for the WHO Growth Sta...
<p>Fig 5a. ROC curves for different biomarkers and PSI. Fig 5b. ROC curves for the PSI & MR-proADM p...
<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either i...
<p>ROC curve regarding the prediction of mortality provided by first EVLW, last EVLW, APACHE-II and ...
<p>The area under the curve was 0.629 for YKL-40, 0.569 for AFP and 0.652 for the combined YKL-40 an...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
<p>(A) ROC curve for cardiovascular mortality; (B) ROC curve for non-cardiovascular mortality. Scler...
<p>Comparison between ROC curves for RHF-related death prediction according to each significant char...
<p>ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...
<p>AUC of ROC curve for the prediction of mortality at the time of CRRT application.</p
<p>ROC curve for predicted mortality from GRACE risk alone and combination of GRACE risk with previo...
<p>(a: cutoff value = 3.0, sensitivity = 79.38%, specificity = 87.50%; b: cutoff value = 4.0, sensit...
<p>AUC area under curve by Hanley method to calculate standard errors, CI 95% confidential intervals...
<p>The optimal cutoff values for each plasma biomarker level and the severity scores are presented. ...
<p>The x-axis is the false- positive rate, 1 –specificity; the y-axis is the true- positive rate, se...
<p>ROC Curves for the Prediction of Death for the WH Indicators (WH% and WHZ) for the WHO Growth Sta...
<p>Fig 5a. ROC curves for different biomarkers and PSI. Fig 5b. ROC curves for the PSI & MR-proADM p...
<p>The curves are based on risk-prediction models incorporating 16 clinical covariates that either i...
<p>ROC curve regarding the prediction of mortality provided by first EVLW, last EVLW, APACHE-II and ...
<p>The area under the curve was 0.629 for YKL-40, 0.569 for AFP and 0.652 for the combined YKL-40 an...
<p>(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...
<p>(A) ROC curve for cardiovascular mortality; (B) ROC curve for non-cardiovascular mortality. Scler...
<p>Comparison between ROC curves for RHF-related death prediction according to each significant char...
<p>ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...
<p>AUC of ROC curve for the prediction of mortality at the time of CRRT application.</p
<p>ROC curve for predicted mortality from GRACE risk alone and combination of GRACE risk with previo...
DOI
Add to ORKG