Research Article

Identifying the Symptom Severity in Obsessive-Compulsive Disorder for Classification and Prediction: An Artificial Neural Network Approach

Table 1

Demographic details of the case (patient), control (healthy), and the total sample.

VariableCaseControlTotal

GenderFrequency (%)Frequency (%)Frequency (%)
 Male89 (44.5)164 (41.0)253 (42.2)
 Female111 (55.5)236 (59.0)347 (57.8)
Family income (in PKR)
 ≤20,00055 (27.5)166 (41.5)221 (36.8)
 21,000-40,000109 (54.5)154 (38.5)263 (43.8)
 41,000-60,00027 (13.5)44 (11.0)71 (11.8)
 >61,0009 (04.5)36 (09.0)45 (07.5)
Marital status
 Single83 (41.5)171 (42.8)253 (42.3)
 Married105 (52.5)196 (49.0)301 (50.2)
 Widow6 (03.0)20 (05.0)26 (04.3)
 Divorced6 (03.0)13 (03.2)19 (03.2)
Family system
 Nuclear89 (44.5)161 (40.3)250 (41.7)
 Joint111 (55.5)239 (59.8)350 (58.3)
Number of children
 16 (03.0)23 (05.8)29 (04.8)
 217 (08.5)30 (07.5)47 (07.8)
 336 (18.0)38 (09.5)74 (12.5)
 419 (09.5)39 (09.8)58 (09.7)
 525 (12.5)24 (06.0)49 (08.2)
 6≤4 (02.0)37 (09.2)41 (06.8)

The value in the parenthesis is the percentage of the adjusted frequency.