Table 2 Demographic characteristics of the clinical datasets used for exemplar applications.
From: Neurofind: using deep learning to make individualised inferences in brain-based disorders
Clinical datasets (N = 367) | ||||||
|---|---|---|---|---|---|---|
Alzheimer’s disease (N = 122) | Schizophrenia (N = 245) | |||||
AD (N = 61) | HC (N = 61) | p | SZ (N = 134) | HC (N = 111) | p | |
Sex F/M, N (%) | 37 (60.7) / 24 (39.3) | 43 (70.5)/ 18 (29.5) | 0.341 | 30 (22.4) / 104 (77.6) | 32 (28.8) / 79 (71.2) | 0.314 |
Age, median [Q1,Q3] | 73.0 [69.0,77.0] | 71.0 [68.0,75.0] | 0.244 | 35.0 [25.0,46.0] | 37.0 [27.0,47.0] | 0.282 |
