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Table 3 Two variables analyses and 5 × 2 cross-validation protocol (average results obtained in 10 analyses with each model).

From: Artificial neural networks allow the use of simultaneous measurements of Alzheimer Disease markers for early detection of the disease

INPUT

MODELS

No.

Sensitivity

Specificity

Mean Accuracy

No. Errors

SD Mean Accuracy

APP ADAM

FF_Sn

10

92,98%

76,99%

84,99%

4,2

4,23

 

FF_Bm

10

93,51%

73,08%

83,29%

4,6

6,06

 

FF_Bp

10

89,12%

74,74%

81,93%

5,2

5,27

 

SMDA

10

87,98%

69,17%

78,58%

6,1

6,12

 

LDA

10

82,52%

63,46%

72,99%

7,8

8,74

APP BACE

FF_Sn

10

84,33%

80,06%

82,20%

5,4

3,53

 

FF_Bm

10

81,69%

79,94%

80,82%

5,9

4,24

 

FF_Bp

10

83,27%

79,17%

81,22%

5,7

3,92

 

SMDA

10

82,81%

76,60%

79,70%

6,1

4,21

 

LDA

10

79,53%

64,68%

72,11%

8,2

4,54

ADAM BACE

FF_Sn

10

86,52%

80,19%

83,36%

5

5,91

 

FF_Bm

10

86,02%

76,92%

81,47%

5,5

5,60

 

FF_Bp

10

84,88%

79,42%

82,15%

5,4

6,61

 

SMDA

10

83,86%

74,61%

79,24%

6,2

7,05

 

LDA

10

85,97%

63,53%

74,75%

7,2

6,76

  1. LDA: Linear Discriminant Analysis, No: Number; SD: Standard Deviation.