Table 1 The basic characteristics of the infants in internal and external datasets

From: Automating General Movements Assessment with quantitative deep learning to facilitate early screening of cerebral palsy

 

Internal cross-validation dataset (n = 906)

External validation dataset (n = 221)

 

Normal group

Risk group

p value

Normal group

Risk group

p value

n

691 (76.3%)

215 (23.7%)

 

173 (78.3%)

48 (21.7%)

 

Sex

Male

353 (51.1%)

114 (53.0%)

0.676

87 (50.0%)

27 (56.3%)

0.570

Female

338 (48.9%)

101 (47.0%)

 

86 (50.0%)

21 (43.8%)

 

GA (week)

35.11 (3.22)

35.68 (3.22)

0.012

35.14 (3.34)

35.58 (3.38)

0.384

BW (g)

2415.67 (665.88)

2514.93 (699.11)

0.093

2414.86 (687.62)

2526.56 (671.03)

0.313

CA (week)

12.53 (2.72)

12.53 (2.64)

0.866

12.73 (2.72)

12.75 (2.86)

0.928

  1. Data are represented by n (%) or mean (sd). The p values are calculated using Chi-square test, t-test or Mann–Whitney test. All tests are two-tailed.
  2. GA gestational age, BW birth weight, CA corrected age.
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