(a) shows the liver data and (b) shows the kidney data. In the plot, BR plus LR represents BR model that uses LR as base classifier. Other symbols are defined similarly.</p
ROC curves of Att-RethinkNet using LSTM and SRN algorithms on liver data (a) and kidney data (b).</p
The receiver operating characteristic (ROC) curve is the most widely used measure for statistically ...
<p>A: Comparison curves of ROC between ALP and miRNA panel in the validation set; B: Comparison curv...
The column of the model utilizing only clinical data from our previous study [6] is included for com...
<p>Logistic regression model vs. LKB and RS NTCP model for heart (a) and lungs (b). Logistic regress...
<p>ROC curves from disease classification models for differentiating between AD and CN individuals.<...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...
<p>Comparison between ROC curves for RHF-related death prediction according to each significant char...
ROC curves of RethinkNet and Att-RethinkNet on liver data (a) and kidney data (b).</p
<p>ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p
<p>ROC curves showing the performance of liver mass as a diagnostic for HCC (AUROC 0.83) and liver-t...
<p>Comparison between ROC curves obtained with the integrated model and LASSO logistic regression of...
<p>ROC curves and area under ROC curve (AUC) values can be used as more robust measures of classifie...
<p>Comparison between ROC curves obtained with the marginal and integrated model.</p
ROC curves of Att-RethinkNet using LSTM and SRN algorithms on liver data (a) and kidney data (b).</p
The receiver operating characteristic (ROC) curve is the most widely used measure for statistically ...
<p>A: Comparison curves of ROC between ALP and miRNA panel in the validation set; B: Comparison curv...
The column of the model utilizing only clinical data from our previous study [6] is included for com...
<p>Logistic regression model vs. LKB and RS NTCP model for heart (a) and lungs (b). Logistic regress...
<p>ROC curves from disease classification models for differentiating between AD and CN individuals.<...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...
<p>Comparison between ROC curves for RHF-related death prediction according to each significant char...
ROC curves of RethinkNet and Att-RethinkNet on liver data (a) and kidney data (b).</p
<p>ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p
<p>ROC curves showing the performance of liver mass as a diagnostic for HCC (AUROC 0.83) and liver-t...
<p>Comparison between ROC curves obtained with the integrated model and LASSO logistic regression of...
<p>ROC curves and area under ROC curve (AUC) values can be used as more robust measures of classifie...
<p>Comparison between ROC curves obtained with the marginal and integrated model.</p
ROC curves of Att-RethinkNet using LSTM and SRN algorithms on liver data (a) and kidney data (b).</p
The receiver operating characteristic (ROC) curve is the most widely used measure for statistically ...
<p>A: Comparison curves of ROC between ALP and miRNA panel in the validation set; B: Comparison curv...
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