Performance of tested case ascertainment algorithms on training and validation sets (medical charts records as the reference standard).</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Relative performance (in %) of our adapted algorithms with respect to their baseline.</p
<p>Performance of the algorithm for cough classification together with cough sound detection using t...
Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
Performance statistics of the tested algorithms at different activity levels.</p
Diagnostic accuracy at different base case model thresholds in thresholds in Sudanes test data.</p
Performance metrics of case-identifying algorithms for severe hypoglycemia (all evaluated algorithms...
Diagnostic accuracy at different base case model thresholds in PRIEST test data.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Performance of different classification algorithms for stroke case identification.</p
<p>Comparing the characteristics of presumptive TB cases evaluated by algorithm.</p
<p>Diagnostic performance of a decision tree model with both training and validation datasets.</p
Diagnostic accuracy at different base case model thresholds in Western Cape Alpha/Beta/Delta wave tr...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Relative performance (in %) of our adapted algorithms with respect to their baseline.</p
<p>Performance of the algorithm for cough classification together with cough sound detection using t...
Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
<p>Performance with training datasets of various sizes using gold standard medical concepts.</p
Performance statistics of the tested algorithms at different activity levels.</p
Diagnostic accuracy at different base case model thresholds in thresholds in Sudanes test data.</p
Performance metrics of case-identifying algorithms for severe hypoglycemia (all evaluated algorithms...
Diagnostic accuracy at different base case model thresholds in PRIEST test data.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Performance of different classification algorithms for stroke case identification.</p
<p>Comparing the characteristics of presumptive TB cases evaluated by algorithm.</p
<p>Diagnostic performance of a decision tree model with both training and validation datasets.</p
Diagnostic accuracy at different base case model thresholds in Western Cape Alpha/Beta/Delta wave tr...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Relative performance (in %) of our adapted algorithms with respect to their baseline.</p
<p>Performance of the algorithm for cough classification together with cough sound detection using t...