<p>The performance evaluation of classification criteria in 213 patients with suspicious SS.</p
To compare the sensitivity and specificity of different classification criteria for gout in early an...
Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...
<p>Clinical classification of new Hansen's disease cases diagnosed during the study.</p
<p>TP: Number of CHF patients detected and TN: number of normal subject detected. FP: Number of norm...
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
<p>Classification performance of different state-of-the-art methods in digital pathology.</p
Decision–making experiment of forensic patients with SSD, non–forensic patients with SSD and healthy...
<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>Demographics data, performances and classification of the brain-damaged patients (<i>n</i> = 21) ...
Performance metrics of case-identifying algorithms for severe hypoglycemia (all evaluated algorithms...
<p>Each criterion is rated from 0 points (worst condition) to 6 points (best condition).</p
Detection performance (d’) of physicians for cases from different fields of specialization.</p
<p>Diagnostic Performance of each method of eye examination classified in 3 categories.</p
<p>Out of 429 misclassified cases (using DAS28 derived dichotomous labels as gold standard), the maj...
To compare the sensitivity and specificity of different classification criteria for gout in early an...
Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...
<p>Clinical classification of new Hansen's disease cases diagnosed during the study.</p
<p>TP: Number of CHF patients detected and TN: number of normal subject detected. FP: Number of norm...
Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...
<p>Classification performance of different state-of-the-art methods in digital pathology.</p
Decision–making experiment of forensic patients with SSD, non–forensic patients with SSD and healthy...
<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>Demographics data, performances and classification of the brain-damaged patients (<i>n</i> = 21) ...
Performance metrics of case-identifying algorithms for severe hypoglycemia (all evaluated algorithms...
<p>Each criterion is rated from 0 points (worst condition) to 6 points (best condition).</p
Detection performance (d’) of physicians for cases from different fields of specialization.</p
<p>Diagnostic Performance of each method of eye examination classified in 3 categories.</p
<p>Out of 429 misclassified cases (using DAS28 derived dichotomous labels as gold standard), the maj...
To compare the sensitivity and specificity of different classification criteria for gout in early an...
Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...
<p>Clinical classification of new Hansen's disease cases diagnosed during the study.</p
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