Table 5 Performance of differential diagnosis between AD and NC using different ML models in the proposed technique. The mean and standard deviation are obtained from fivefold cross-validation.

From: Enhancing foveal avascular zone analysis for Alzheimer’s diagnosis with AI segmentation and machine learning using multiple radiomic features

Model

Fold 1

Fold 2

Fold 3

Fold 4

Fold 5

Mean (%)

p-value

XGBoost37

65

72

62

68

59

\(65.5\pm 6.0\)

0.0346

Random forest38

64

72

53

64

56

\(62.3\pm 4.0\)

0.0632

LGBM39

76

76

65

70

72

\(\bf{{72.2}\pm {4.2}}\)

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