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Table 1 Demographic data for the training and validation sets

From: Machine learning adaptation of intraocular lens power calculation for a patient group

Parameter Training set
mean ± SD (range)
Validation set
mean ± SD (range)
P value*
N, eye/patient 1211/769 400/400  
Age (years) 72.8 ± 8.7
(24–92)
73.1 ± 9.8
(31–93)
0.65
Axial length (mm) 23.92 ± 1.54
(20.8–29.8)
23.92 ± 1.53
(21.1–32.0)
0.78
Anterior chamber depth (mm) 3.15 ± 0.40
(2.12–4.54)
3.15 ± 0.40
(2.15–4.06)
0.97
Mean keratometry (D) 44.35 ± 1.54
(37.3–49.7)
44.13 ± 1.63
(36.8–48.5)
0.02
Lens thickness (mm) 4.63 ± 0.44
(3.0–5.8)
4.63 ± 0.45
(3.3–5.9)
0.75
Central corneal thickness (μm) 518.4 ± 32.2
(365–634)
518.8 ± 33.6
(392–606)
0.84
White-to-white width (mm) 11.7 ± 0.4
(10.2–13.0)
11.7 ± 0.4
(10.2–12.9)
0.35
IOL power (D) 20.0 ± 3.9
(6.0–30.0)
20.2 ± 3.8
(6.0–28.0)
0.49
Postoperative MRSE (D)  − 0.39 ± 0.81
(− 4.88–1.25)
 − 0.37 ± 0.86
(− 5.25–1.63)
0.72
  1. IOL intraocular lens; MRSE manifest refraction spherical equivalent; D diopter
  2. * Unpaired t-test