Table 2 Demographic data of the study population.

From: Glaucoma diagnosis using multi-feature analysis and a deep learning technique

Parameters/features

Normal (n = 100)

Glaucoma (n = 100)

p-value

Age (mean ± SD)

55.11 ± 11.19

55.42 ± 12.12

0.851

Gender

Female 51, Male 49

Female 31, Male 69

0.004

Family history

Yes: 22, N/A:78

Yes: 22, N/A: 78

1

Ethnicity

Asian-27, Caucasian-62, Indigenous Australian-1

Hispanic (Central and South American)-2, Indian-2, Arab Caucasoid (Middle eastern)-3, African-1, Unknown-2

Asian-41, Caucasian-35, Indigenous Australian-2

Hispanic (Central and South American)-2, Indian-5, Arab Caucasoid (Middle Eastern)-3, African-3, Pacific Islander-1, Unknown-7, Refused-1

N/A

SE (mean ± SD)

āˆ’ā€‰0.75 ± 2.17

āˆ’ā€‰1.33 ± 2.58

0.057

Average RNFL thickness (mean ± SD)

94.75 ± 8.97

77.62 ± 10.76

< 0.001

CDR (mean ± SD)

0.58 ± 0.15

0.72 ± 0.12

< 0.001

Corneal thickness (mean ± SD)

567.56 ± 37.16

557.56 ± 32.92

0.045

IOP (mean ± SD)

15.9 ± 3.12

17.87 ± 4.40

0.001

MD (mean ± SD)

āˆ’ā€‰0.82 ± 2.21

āˆ’ā€‰3.20 ± 5.01

< 0.001

PSD (mean ± SD)

2.03 ± 1.52

3.51 ± 2.52

< 0.001