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Table 1 Demographic and clinical features

From: Combining gene expression, demographic and clinical data in modeling disease: a case study of bipolar disorder and schizophrenia

Feature Value (encoding) Control Schiz. Bipolar
Age   44 ± 8 43 ± 9 45 ± 10
Sex Male (1) 81 86 53
  Female (-1) 31 29 52
PMI   29 ± 13 31 ± 15 38 ± 17
Brain pH   6.6 ± 0.3 6.4 ± 0.3 6.4 ± 0.3
Left brain Frozen (1) 51 57 59
  Fixed (-1) 61 58 46
Brain region FrontalBA46 (1) 101 104 94
  FrontalBA46/10 (-1) 11 11 11
HSV 1 OD Z-score   0.1 ± 1.0 -0.2 ± 0.9 -0.0 ± 0.8
HSV 2 OD Z-score   -0.2 ± 0.5 -0.1 ± 0.7 0.3 ± 1.3
Smoking at TOD Yes (1) 29 71 47
  No (-1) 29 19 18
  Unknown (0) 54 25 40
Alcohol use Unknown (1) 0 0 4
  Little or none (2) 56 35 12
  Social (3) 38 22 24
  Moderate in past (4) 4 10 16
  Moderate in present (5) 8 10 10
  Heavy in past (6) 6 11 16
  Heavy in present (7) 0 27 23
Drug use Unknown (1) 0 6 0
  Little or none (2) 97 52 32
  Social (3) 7 7 8
  Moderate in past (4) 5 13 21
  Moderate in present (5) 3 8 12
  Heavy in past (6) 0 11 6
  Heavy in present (7) 0 18 26
Rate of death Sudden (1) 110 91 96
  Possible anoxia (2) 0 18 6
  Slow death (3) 2 3 0
  Mechanical ventilator (4) 0 3 3
  1. This table lists the distribution (count or mean ± standard deviation) of the demographic features in the three classes (control, schizophrenia, bipolar disorder). Because most classification techniques are restricted to numerical features only, we reencode each nominal feature as a numeric feature. The numerical encoding is listed between parentheses after each nominal feature value.