<p>ROC curves of individual subject classification to sMCI or pMCI based on baseline <i>BrainAGE</i> scores, cognitive scores, and hippocampus volumes for (A) early converters and (B) the whole sample. The areas under the ROC curves (AUCs) of cognitive scores and hippocampus volumes were tested against the AUC of <i>BrainAGE</i>: ***p<0.001; **p<0.01; *p<0.05.</p
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
<p>The true positive rate refers to the proportion of musicians correctly identified. Variables give...
<p>The ROC curves were obtained by computing the cumulative Hit and False Alarm rates for each confi...
<p>ROC curves of individual subject classification to sMCI<sup>CSF</sup> or pMCI<sup>CSF</sup> based...
<p>ROC curves for the three cases analyzed: using only images, using only neuropsychological scores ...
<p>ROC curves for classification of MCI individuals using the resting-state fMRI.</p
The area under the curve (AUC) was computed for each parameter. The following parameters—illustrated...
The area under the curve (AUC) was computed for each parameter. The following parameters—illustrated...
<p>The receiver operating characteristics curves for the Montreal Cognitive Assessment (MoCA) and th...
<p>Top two rows: ROC curves averaged over four different human test subjects using reported confiden...
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>The area under the ROC curve of the early H/M ratio was 0.805 (<i>p</i> < 0.001) for the all pati...
<p>Significance of the area under curve (AUC) was determined by the Student’s t-test taking as the n...
<p>AUC with 95% CIs are reported for both Freesurfer in red and Civet in blue. CTR: Normal elderly c...
<p>The blue line indicates the prediction scenario using only clinical variables (hippocampal sclero...
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
<p>The true positive rate refers to the proportion of musicians correctly identified. Variables give...
<p>The ROC curves were obtained by computing the cumulative Hit and False Alarm rates for each confi...
<p>ROC curves of individual subject classification to sMCI<sup>CSF</sup> or pMCI<sup>CSF</sup> based...
<p>ROC curves for the three cases analyzed: using only images, using only neuropsychological scores ...
<p>ROC curves for classification of MCI individuals using the resting-state fMRI.</p
The area under the curve (AUC) was computed for each parameter. The following parameters—illustrated...
The area under the curve (AUC) was computed for each parameter. The following parameters—illustrated...
<p>The receiver operating characteristics curves for the Montreal Cognitive Assessment (MoCA) and th...
<p>Top two rows: ROC curves averaged over four different human test subjects using reported confiden...
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>The area under the ROC curve of the early H/M ratio was 0.805 (<i>p</i> < 0.001) for the all pati...
<p>Significance of the area under curve (AUC) was determined by the Student’s t-test taking as the n...
<p>AUC with 95% CIs are reported for both Freesurfer in red and Civet in blue. CTR: Normal elderly c...
<p>The blue line indicates the prediction scenario using only clinical variables (hippocampal sclero...
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
<p>The true positive rate refers to the proportion of musicians correctly identified. Variables give...
<p>The ROC curves were obtained by computing the cumulative Hit and False Alarm rates for each confi...