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Table 4 Confusion matrix of keratoconus severity prediction by LDA and RF models on validation dataset

From: Development of a classification system based on corneal biomechanical properties using artificial intelligence predicting keratoconus severity

  

Reference classification based on TKC

 

Final LDA model

Healthy

Mild KC

Moderate KC

Advanced KC

Overall accuracy

Prediction

Healthy

31

7

0

0

71%

Mild KC

2

19

5

0

Moderate KC

0

9

21

4

Advanced K

0

0

9

19

Sn/Sp

82%/97%

73%/81%

62%/83%

68%/95%

 

Final RF model (default cut-off)

Healthy

Mild KC

Moderate KC

Advanced KC

Overall accuracy

Prediction

Healthy

33

10

1

0

75%

Mild KC

0

20

6

0

Moderate KC

0

4

22

3

Advanced K

0

1

6

20

Sn/Sp

100%/88%

57%/93%

63%/92%

87%/93%

 

Final RF model (optimized cut-off)

Healthy

Mild KC

Moderate KC

Advanced KC

Overall accuracy

Final prediction (DKI)

Healthy

30

5

1

0

78%

Mild KC

3

28

6

0

Moderate KC

0

1

22

5

Advanced KC

0

1

6

18

Sn/Sp

91%/94%

80%/90%

63%/87%

72%/95%

 
  1. DKI Dresden keratoconus index based on optimized RF model; KC keratoconus; LDA linear discriminant analysis; RF random forest; Sn sensitivity; Sp = specificity; TBI tomographic and biomechanical index. Bold signifies correct prediction by LDA or RF model