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Table 2 False positive rate of different models at 12, 24, 36 and 48 months

From: Prediction of cognitive conversion within the Alzheimer’s disease continuum using deep learning

 

False positive rate

12-month

dgcbi

gcbi

cbi

cb

c

Fold0

2.17%

3.26%

2.17%

4.35%

1.09%

Fold1

9.78%

0.00%

10.87%

0.00%

6.52%

Fold2

0.00%

3.26%

9.78%

8.70%

13.04%

Fold3

3.26%

4.35%

0.00%

2.17%

5.43%

Fold4

1.10%

1.10%

4.40%

5.49%

1.10%

Average across folds

3.26%

2.39%

5.44%

4.14%

5.44%

24-month

dgcbi

dgci

gci

cb

c

Fold0

2.60%

3.90%

11.69%

2.60%

10.39%

Fold1

2.60%

7.79%

5.19%

6.49%

5.19%

Fold2

0.00%

1.30%

2.60%

1.30%

0.00%

Fold3

1.30%

0.00%

1.30%

2.60%

0.00%

Fold4

0.00%

1.32%

10.53%

5.26%

6.58%

Average across folds

1.30%

2.86%

6.26%

3.65%

4.43%

36-month

dgcbi

dgci

gcb

ci

c

Fold0

0.00%

4.88%

0.00%

7.32%

4.88%

Fold1

4.88%

0.00%

2.44%

2.44%

2.44%

Fold2

5.oo%

2.50%

2.50%

2.50%

7.50%

Fold3

0.00%

0.00%

0.00%

10.00%

0.00%

Fold4

0.00%

2.50%

5.00%

0.00%

17.50%

Average across folds

1.98%

1.98%

1.99%

4.45%

6.46%

48-month

dgcbi

dgci

dgc

dc

c

Fold0

0.00%

0.00%

0.00%

18.60%

4.65%

Fold1

2.33%

2.33%

2.33%

6.98%

6.98%

Fold2

2.33%

0.00%

0.00%

0.00%

4.65%

Fold3

0.00%

0.00%

0.00%

11.63%

0.00%

Fold4

2.38%

2.50%

2.38%

9.52%

2.38%

Average across folds

1.41%

0.97%

0.94%

9.35%

3.73%

  1. Notes: demographic data-d; genetic data-g; cognitive data-c; biomarker-b; imaging data-i