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Table 4 Demographics of BGR and CP cohorts

From: Automated extraction of functional biomarkers of verbal and ambulatory ability from multi-institutional clinical notes using large language models

  

BGR: All Individuals in Cohort

BGR: Individuals in GPT Dataset

CP: All Individuals in Cohort

CP: Individuals in GPT Dataset

N

 

564

125

633

260

Age (sd)

 

11.4 (9.8)

11.2 (6.1)

8.5 (5.1)

7.53 (4.9)

Sex

Female

259 (45.9%)

41 (32.8%)

292 (46.1%)

124 (47.7%)

Male

305 (54.1%)

84 (67.2%)

337 (53.2%)

135 (51.9%)

Unknown/Not Reported

0 (0.0%)

0 (0.00%)

4 (0.6%)

1 (0.4%)

Ethnicity

Hispanic or Latine

56 (9.9%)

8 (6.4%)

N/A

N/A

Not Hispanic or Latine

406 (72.0%)

94 (75.2%)

N/A

N/A

Unknown/Not Reported

102 (18.1%)

23 (18.4%)

N/A

N/A

Race

Asian

25 (4.4%)

5 (4.0%)

12 (1.9%)

7 (2.7%)

Black or African American

27 (4.8%)

8 (6.4%)

113 (17.9%)

62 (23.9%)

More Than One Race

23 (4.1%)

3 (2.4%)

31 (4.9%)

20 (7.7%)

Other

19 (3.4%)

1 (0.8%)

12 (1.9%)

5 (1.9%)

Unknown/Not Reported

88 (15.6%)

16 (12.8%)

24 (3.8%)

10 (3.9%)

White

381 (67.6%)

92 (73.6%)

492 (77.7%)

192 (73.9%)

  1. Demographics are provided for entire cohorts and just the subsection that the pipelines were applied to. Data include self-reported sex, ethnicity, race, and age