Table 4 Performance metrics across datasets with a model trained on the ADNI training set, using a cut-off of and Alzheimer’s disease (AD) score of 0.5 and employing inference using MC Dropout with 50 samples.

From: Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

Dataset

Accuracy

AUC

Sensitivity

Specificity

PPV/precision

NPV

ADNI test set

0.92

0.97

0.90

0.93

0.90

0.93

NACC (only AD/Control)

0.74

0.79

0.68

0.78

0.65

0.80

NACC (AD/All)

0.72

0.76

0.68

0.73

0.56

0.83

  1. AUC area under the ROC curve, PPV positive predictive value, NPV negative predictive value.
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