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Exact(52)
The inspection of ROC curves of Nonpher and SAscore models reveals that although SAscore model produces better ROC values for higher thresholds, Nonpher model is better at distinguishing hard-to-synthesize from easy-to-synthesize structures.
The respective significant AUC ROC values are printed in bold in Table 2.
The AUC ROC values for the different sets of curves vary notably.
High ROC values, over 0.8, were achieved with the Mahalanobis typicality images of both mature and young rubber trees.
The set of curves ascending steeper at the beginning belongs to the confidence measures and yield larger AUC ROC values.
We observed that for the models generated in this study and previously published, the ROC values were comparable (Table 2).
Similar(8)
Plasma NGAL showed fair performance for AKI diagnosis, with AUC-ROC values above 0.70.
However, others authors have reported AUC-ROC values for Hepascore, Fibrometer and SHASTA (three indexes which include HA), and Fibrotest [ 30] similar to AUC-ROC values of HA in our patients.
Additional file 2: AUC-ROC values for detection of established AKI, late-onset AKI or progression of AKI.
For detecting late-onset AKI, only plasma NGAL showed AUC-ROC values higher than 0.70 with statistical significance.
When stratified by age group, gender and puberty stage the AUC-ROC values for the prediction by HOMA-IR were still lower than those by TG/HDL-C.
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