From: Application of artificial neural network model in diagnosis of Alzheimer’s disease
AD(n = 89) | Non-AD (n = 178) | t/X2 | P | |
---|---|---|---|---|
Age (mean ± SD) | 77.44 ± 6.82 | 72.49 ± 6.86 | 5.56 | < 0.001 |
Gender [n(%)] | ||||
male | 27 (30.34) | 90 (50.56) | 9.86 | 0.002 |
female | 62 (69.66) | 88 (49.44) | ||
Education [n(%)] | ||||
illiteracy | 36 (40.45) | 18 (10.11) | 40.12 | < 0.001 |
primary | 24 (26.97) | 43 (24.16) | ||
junior | 27 (30.34) | 99 (55.62) | ||
Previous occupation [n(%)] | ||||
worker | 55 (61.80) | 125 (70.22) | 32.17 | < 0.001 |
farmer | 27 (30.33) | 19 (10.67) | ||
Administrative cadre | 3 (3.37) | 10 (5.62) | ||
technician | 4 (4.50) | 24 (13.48) | ||
Marital status [n(%)] | ||||
married | 53 (59.55) | 129 (72.47) | 14.22 | 0.001 |
unmarried | 6 (6.74) | 0 (0.00) | ||
divorced or widowed | 30 (33.71) | 49 (27.53) | ||
Monthly family income [n(%)] | ||||
0- | 36 (40.45) | 0 (0.00) | 83.75 | < 0.001 |
1000- | 16 (17.98) | 49 (27.53) | ||
2000- | 25 (28.09) | 95 (53.37) | ||
3000- | 12 (13.48) | 34 (19.10) |