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Table 1 Coding of 36 risk factors for alcoholism

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