From: Diagnosis of alcoholism based on neural network analysis of phenotypic risk factors
Category | Coded 0 | Coded 1 | ||
---|---|---|---|---|
No. | Binary factors | |||
Sex | female | male | ||
Smoker | no | yes | ||
1 | Persistent desire to stop drinking | no | yes | |
2 | Morning drinking | no | yes | |
3 | Craving | no | yes | |
4 | Ever binge drink | no | yes | |
5 | So much time drinking... | no or < 1 month | yes > 1 month | |
6 | Narrowing of drinking repertoire | no | yes | |
7 | Gave up activities to drink | no | yes | |
8 | Blackouts (3 or more) | no | yes | |
9 | Withdrawal symptoms | no | yes | |
10 | Physical health problems | no | yes | |
11 | Emotional/psychological problems | no | yes | |
Electrophysiological phenotypes | Scaled from 0 to 1 | |||
3-column binary coding | ||||
Race | White | Black | other | |
Drinks per day | < 5 | 5–10 | > 10 | |
Age | < 20 years | 20–40 years | > 40 years |