Each plot illustrates the receiver operating characteristic (ROC) curve of the algorithm (black curve) on the validation set for (a) abnormality, (b) anterior cruciate ligament (ACL) tear, and (c) meniscus tear. The ROC curve is generated by varying the discrimination threshold (used to convert the output probabilities to binary predictions). Individual clinical expert (specificity, sensitivity) points are also plotted, where the red x’s represent model-unassisted general radiologists, the orange x’s represent model-unassisted orthopedic surgeons, the green plus signs represent model-assisted general radiologists, and the blue plus signs represent model-assisted orthopedic surgeons. We also plot the macro-average of the model-unassisted cli...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>A) Remission defined by rheumatologist consensus in PEARL population. B) Remission defined by Pin...
<p>Receiver operating characteristic (ROC) curve for the predictive model (risk score equation) for ...
Each plot illustrates the ROC curve of the deep learning algorithm (purple) and practicing radiologi...
<p>Note: the threshold at fixed specificity/sensitivity achieved by doctors are used to calculate th...
A two-parameter exponential equation for modeling a receiver operating characteristic (ROC) curve is...
<p>Receiver operating characteristics (ROC) curve of anti-SS-B titers for the diagnosis of connectiv...
Multiple diagnostic tools are used by emergency physicians, every day. In addition, new tools are ev...
Multiple diagnostic tools are used by emergency physicians,<br />every day. In addition, new tools a...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
Objectives: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
<p>A. Predictive ability of the full and “conventional” models in the original population. ROC Curve...
ROC curves are computed with POFs (green dots) and Mixed Index (purple dots).</p
<p>Receiver operating characteristic (ROC) curves, areas under the curve (AUROC), and cut-off values...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>A) Remission defined by rheumatologist consensus in PEARL population. B) Remission defined by Pin...
<p>Receiver operating characteristic (ROC) curve for the predictive model (risk score equation) for ...
Each plot illustrates the ROC curve of the deep learning algorithm (purple) and practicing radiologi...
<p>Note: the threshold at fixed specificity/sensitivity achieved by doctors are used to calculate th...
A two-parameter exponential equation for modeling a receiver operating characteristic (ROC) curve is...
<p>Receiver operating characteristics (ROC) curve of anti-SS-B titers for the diagnosis of connectiv...
Multiple diagnostic tools are used by emergency physicians, every day. In addition, new tools are ev...
Multiple diagnostic tools are used by emergency physicians,<br />every day. In addition, new tools a...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
Objectives: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
<p>A. Predictive ability of the full and “conventional” models in the original population. ROC Curve...
ROC curves are computed with POFs (green dots) and Mixed Index (purple dots).</p
<p>Receiver operating characteristic (ROC) curves, areas under the curve (AUROC), and cut-off values...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>A) Remission defined by rheumatologist consensus in PEARL population. B) Remission defined by Pin...
<p>Receiver operating characteristic (ROC) curve for the predictive model (risk score equation) for ...