Table 2 Demographics for each data split

From: Development of the treatment prediction model in the artificial intelligence in depression – medication enhancement study

Ā 

African Descent

Caucasian

Hispanic

Other

Asian

Null Race

Male

Female

Age (18–25.999)

Age (26–40.999)

Age (41–64.999)

Age (65 + )

Remission

Total n**

Train*

575 (7.82%)

5584 (75.97%)

142 (1.93%)

136 (1.85%)

692 (9.41%)

221 (3%)

2672 (36.35%)

4678 (63.64%)

799 (10.87%)

2391 (32.53%)

3543 (48.2%)

617 (8.39%)

3,173 (43.17%)

7,350 (81.28%)

Test*

57 (6.5%)

677 (77.37%)

22 (2.52%)

13 (1.48%)

77 (8.8%)

29 (3.3%)

323 (36.91%)

552 (63.1%)

97 (11.09%)

263 (30.1%)

445 (50.86%)

70 (8%)

380 (43.43%)

875 (9.67%

Validation*

64 (7.83%)

633 (77.47%)

21 (2.57%)

16 (1.96%)

60 (7.34%)

23 (2.82%)

300 (36.72%)

517 (63.28%)

78 (9.55%)

249 (30.48%)

419 (51.29%)

71 (8.69%)

349 (42.71%)

817 (9.03%)

Total**

696 (7.7%)

6,894 (76.24%)

185 (2.05%

165 (1.82%)

829 (9.17)

273 (3.02%)

3,295 (36.44%)

5,747 (63.56%)

974 (10.77%)

2,903 (32.11%)

4,407 (48.74%

758 (8.38%)

3,902 (43.15%)

9,042 (100%)

  1. *Percentages calculated with a denominator of the sub-total n per dataset split.
  2. **Percentages calculated with a denominator of the full dataset.