Research Article
Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques
Table 2
Review of cancer type based on no of features and age group.
| Article | No of features selected | Imported feature (age group) | Possible cancer types |
| [33] | 13 parameters | 18-40 | Cancer type 1 and type 2 | [34] | 10 parameters | 20-50 | Cervical cancer, lung cancer | [35] | 12 parameters | 18-55 | Cervical cancer, skin cancer | [36] | 10 parameters | 18-45 | Cervical cancer type 3 | [37] | 15 parameters | 20-50 | Cervical cancer, breast cancer | [38] | 7 parameters | 18-30 | Cervical cancer, breast cancer | [39] | 10 parameters | 17-30 | Cervical cancer, lung cancer | [40] | 18 parameters | 14-60 | Cervical cancer, type 2 and 3 | [41] | 12 parameters | 15-55 | Cervical cancer, type 1 |
|
|