<p>Performance with training datasets of various sizes using automatically predicted medical concepts.</p
<p>Training data conditions under which the classification algorithms were tested.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>Performance of different feature combinations using automatically predicted medical concepts.</p
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
Performance comparison of a species-specific predictor using the test dataset.</p
<p>The performance comparison of the models trained with different sequence lengths.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Prediction performance of the 1234 drugs in different indication range (number of network drugs a...
<p>Prediction accuracies obtained by the method as applied to training and test datasets of each tes...
<p>Performance of individual feature added to baseline using gold standard medical concepts.</p
<p>Training data conditions under which the classification algorithms were tested.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>Performance of different feature combinations using automatically predicted medical concepts.</p
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
Performance comparison of a species-specific predictor using the test dataset.</p
<p>The performance comparison of the models trained with different sequence lengths.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Prediction performance of the 1234 drugs in different indication range (number of network drugs a...
<p>Prediction accuracies obtained by the method as applied to training and test datasets of each tes...
<p>Performance of individual feature added to baseline using gold standard medical concepts.</p
<p>Training data conditions under which the classification algorithms were tested.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
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