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Table 4 Prediction performance of various baseline CSF measurements and the combinations of CSF measurements and Biomarkers-15 in terms of the AUC score

From: Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data

 

AUC score

CSF t-tau

0.616

CSF Aβ42

0.612

CSF p-tau

0.628

CSF t-tau/Aβ42

0.631

CSF p-tau/Aβ42

0.634

Biomarkers-15

0.830

Biomarkers-15  + CSF t-tau

0.826

Biomarkers-15 + CSF Aβ42

0.827

Biomarkers-15  + CSF p-tau

0.827

Biomarkers-15  + CSF t-tau/Aβ42

0.826

Biomarkers-15  + CSF p-tau/Aβ42

0.827

  1. Note that the AUC score for Biosignature-15 reported in this table included only the subset of 160 subjects with CSF measurements.