<p>Different sensitivities and specificities of the prediction system by adjusting threshold values. For example, if a threshold of 0.8179 is selected, then the sensitivity predicts performance would be 80% and the rate of getting the false alarm rate is 20%.</p
<p>Sensitivity, specificity and predictive values for different screening algorithms</p
<p>Predictive values according to estimated prevalence before (top) and after (bottom) threshold opt...
Sensitivity and specificity of the prediction model, with samples above the cut-off of 50% probabili...
<p>These graphs show the relationships between sensitivity (above) and specificity (below) and thres...
The optimal threshold was defined at the point at which the sensitivity and specificity curves cross...
Sensitivity analysis of prediction model based on sensitivity of individual input parameter.</p
<p>The (a) sensitivity and (b) False prediction rate for the optimal channel with the best and 1st s...
A brief narrative description of the journal article, document, or resource. The output of binary cu...
A brief narrative description of the journal article, document, or resource. The output of binary cu...
<p>Structural-AKI thresholds for severity stages based on equivalent sensitivity (62%) to Functional...
The effect of inaccuracies in the parameters of a dynamic Bayesian network can be investigated by su...
<p>Comparison of sensitivity shown by different prediction methods on the independent datasets.</p
<p>Effect of the threshold level on the predictive accuracy of C<sub>LAA%</sub> for visual score.</p
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
<p>Hit (HR), false alarm rates (FAR), the sensitivity measure A’, and Proportion Correct (PR) as a f...
<p>Sensitivity, specificity and predictive values for different screening algorithms</p
<p>Predictive values according to estimated prevalence before (top) and after (bottom) threshold opt...
Sensitivity and specificity of the prediction model, with samples above the cut-off of 50% probabili...
<p>These graphs show the relationships between sensitivity (above) and specificity (below) and thres...
The optimal threshold was defined at the point at which the sensitivity and specificity curves cross...
Sensitivity analysis of prediction model based on sensitivity of individual input parameter.</p
<p>The (a) sensitivity and (b) False prediction rate for the optimal channel with the best and 1st s...
A brief narrative description of the journal article, document, or resource. The output of binary cu...
A brief narrative description of the journal article, document, or resource. The output of binary cu...
<p>Structural-AKI thresholds for severity stages based on equivalent sensitivity (62%) to Functional...
The effect of inaccuracies in the parameters of a dynamic Bayesian network can be investigated by su...
<p>Comparison of sensitivity shown by different prediction methods on the independent datasets.</p
<p>Effect of the threshold level on the predictive accuracy of C<sub>LAA%</sub> for visual score.</p
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
<p>Hit (HR), false alarm rates (FAR), the sensitivity measure A’, and Proportion Correct (PR) as a f...
<p>Sensitivity, specificity and predictive values for different screening algorithms</p
<p>Predictive values according to estimated prevalence before (top) and after (bottom) threshold opt...
Sensitivity and specificity of the prediction model, with samples above the cut-off of 50% probabili...
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