five

Performance summary for selected models in symptomatic patients.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Performance_summary_for_selected_models_in_symptomatic_patients_/26876581
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The probability values used to calculate the performance metrics were generated with each model developed in the training set and reported in the main text. Probability values for symptomatic patients belonging to the training set and validation set were concatenated to generate the ROC curves. Only ADEPTS samples had symptoms information. A. L. Derang.: Asymptomatic LFT Derangement. B. Pain: Back Pain. C. B. Habit: Change in Bowel Habit. W. Loss: Weight Loss. 95% confidence intervals are provided in parentheses. See also Table H in S1 Appendix for the explicit performance ranks according to model, symptom and metric and Fig 5. Receiver Operating Characteristic (ROC) Area Under the Curve (AUC), Sensitivity (Sens), Positive Predictive Value (PPV) and Negative Predictive Value (NPV) at 90% Specificity (Spec).
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