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Table 3 Comparison of demographics between training and validation dataset

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

 

Training dataset

Validation dataset

P value

N

308

126

N.A.

Healthy

83

33

Mild KC

71

35

Moderate KC

73

35

Advanced KC

81

23

Age (years)

32.0 ± 8.0

32.3 ± 8.1

0.721

Km (D)

45.9 ± 3.6

45.9 ± 3.8

0.898

Kmax (D)

51.5 ± 6.7

51.2 ± 6.5

0.617

I-S value (D)

4.3 ± 4.0

3.8 ± 3.5

0.250

ARC (mm)

7.1 ± 0.7

7.1 ± 0.7

0.668

PRC (mm)

5.5 ± 0.7

5.6 ± 0.7

0.535

TCT (μm)

499 ± 54

497 ± 56

0.810

BAD-D

5.7 ± 4.4

5.4 ± 4.4

0.531

bIOP (mmHg)

14.5 ± 2.1

14.6 ± 2.1

0.659

  1. ARC anterior radius of curvature; BAD-D Belin/Ambrósio total deviation value; bIOP biomechanical intraocular pressure by Corvis ST; I-S inferior-superior; Km mean keratometry values; Kmax maximal keratometry value; N number of subjects; N.A. not applicable; PRC posterior radius of curvature; TCT thinnest corneal thickness. Bold type signifies P < 0.05
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Eye and Vision

ISSN: 2326-0254