Table 1 Demographic characteristics of the development and test samples.

From: Development and validation of a machine learning model using electronic health records to predict trauma- and stressor-related psychiatric disorders after hospitalization with sepsis

 

Full Sample, N = 345,905

Development Sample, N = 217,122

Test Sample, N = 128,783

Age, Mean (SD)

67.9 (17.7)

68.0 (17.7)

67.8 (17.7)

Women, N (%)

185,258 (53.6%)

117,334 (54.0%)

67,924 (52.7%)

Hispanic or Latino, N (%)

53,116 (15.4%)

32,213 (14.8%)

20,903 (16.2%)

Race, N (%)

American Indian or Alaska Native

2068 (0.6%)

1265 (0.6%)

803 (0.6%)

Asian

36,213 (10.5%)

21,961 (10.1%)

14,252 (11.1%)

Black or African American

34,597 (10.0%)

21,190 (9.8%)

13,407 (10.4%)

Multiracial

25,440 (7.4%)

16,807 (7.7%)

8633 (6.7%)

Native Hawaiian or Pacific Islander

1983 (0.6%)

1140 (0.5%)

843 (0.7%)

Unknown

40,145 (11.6%)

24,022 (11.1%)

16,123 (12.5%)

White

205,459 (59.4%)

130,737 (60.2%)

74,722 (58.0%)

  1. Note. Sex, ethnicity, and race were self-reported.