<p>Performance of different feature combinations using automatically predicted medical concepts.</p
Performance comparison of different fold combinations based on the five measures.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
<p>Performance of different feature combinations for disease detection and quantification.</p
<p>Performance of individual feature added to baseline using gold standard medical concepts.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>Prediction performance of the 1234 drugs in different indication range (number of network drugs a...
<p>Performance of automatic classification using expert-defined and discretized features.</p
<p>Performance comparison among various types of sequence features and methods for the novel-germlin...
The performance of the feature sets selected for the causal discovery experiments.</p
<p>(Note: F1 are keyword-based features and F2 are medical domain-specific features).</p
<p>Classification performance achieved with different feature reduction techniques.</p
Performance comparison of different fold combinations based on the five measures.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
<p>Performance of different feature combinations for disease detection and quantification.</p
<p>Performance of individual feature added to baseline using gold standard medical concepts.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>Prediction performance of the 1234 drugs in different indication range (number of network drugs a...
<p>Performance of automatic classification using expert-defined and discretized features.</p
<p>Performance comparison among various types of sequence features and methods for the novel-germlin...
The performance of the feature sets selected for the causal discovery experiments.</p
<p>(Note: F1 are keyword-based features and F2 are medical domain-specific features).</p
<p>Classification performance achieved with different feature reduction techniques.</p
Performance comparison of different fold combinations based on the five measures.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
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