<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively.</p
<p>Each algorithm trained using selected features and evaluated with 10-fold cross-validation. Value...
Comparison of the averaged HRs (over 5 trials and 20 subjects) of positive and negative displays for...
Performance metrics (cumulative false negative and true positive distributions and recall values) of...
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
<p>The Comparison of Average Numbers of Positive and Negative Training Samples.</p
Average influence of ratio of training samples on accuracy with INysCK and MINysCK and corresponding...
<p>Number of positive and negative instances in testing and training dataset.</p
<p>Number of samples contained in positive/negative test set used for performance evaluation of MLLE...
<p>Number of samples contained in positive/negative test set used for performance evaluation of diff...
The average true positive rate equals the proportion of disease-associated EqSets among those that p...
<p>N: normal distribution with mean and variance; Beta: Beta distribution with shape parameters. For...
<p>A 60-40 split generated a total number of rules comparable to 70-30 and 80-20 splits but with les...
<p>Each data point is obtained by averaging over ten runs, each of which has an independently random...
<p>The metrics are calculated after combining the responses of all the experts using EM and then ass...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>Each algorithm trained using selected features and evaluated with 10-fold cross-validation. Value...
Comparison of the averaged HRs (over 5 trials and 20 subjects) of positive and negative displays for...
Performance metrics (cumulative false negative and true positive distributions and recall values) of...
<p>The ratios of the number of positive samples to negative ones are from 1:1 to 1:10, respectively....
<p>The Comparison of Average Numbers of Positive and Negative Training Samples.</p
Average influence of ratio of training samples on accuracy with INysCK and MINysCK and corresponding...
<p>Number of positive and negative instances in testing and training dataset.</p
<p>Number of samples contained in positive/negative test set used for performance evaluation of MLLE...
<p>Number of samples contained in positive/negative test set used for performance evaluation of diff...
The average true positive rate equals the proportion of disease-associated EqSets among those that p...
<p>N: normal distribution with mean and variance; Beta: Beta distribution with shape parameters. For...
<p>A 60-40 split generated a total number of rules comparable to 70-30 and 80-20 splits but with les...
<p>Each data point is obtained by averaging over ten runs, each of which has an independently random...
<p>The metrics are calculated after combining the responses of all the experts using EM and then ass...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>Each algorithm trained using selected features and evaluated with 10-fold cross-validation. Value...
Comparison of the averaged HRs (over 5 trials and 20 subjects) of positive and negative displays for...
Performance metrics (cumulative false negative and true positive distributions and recall values) of...
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