Research Article
Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques
Table 5
Cervical indicators results for Boruta analysis and correlation analysis.
| S. no. | Cancer indicator | Boruta analysis | Correlation analysis |
| Number of sexual partners | | √ | √ | 1 | Smoke | √ | X | 2 | Smoke (years) | √ | X | 3 | Smoke (packs) | √ | X | 4 | Hormonal contraceptives (years) | √ | X | 5 | IUD | √ | X | 6 | IUD (years) | √ | X | 7 | STD: number | √ | X | 8 | STD: condylomatosis | √ | X | 9 | STDs: vulvo-perineal condylomatosis | √ | √ | 10 | STD: syphilis | √ | X | 11 | STD: time since the first diagnosis | √ | X | 12 | STD: genital herpes | X | √ | 13 | STD: HIV | X | √ | 14 | STD: time since last diagnosis | √ | X | 15 | Dx | √ | √ | 16 | Dx_cancer | √ | √ | 17 | Dx_HPV | √ | √ | 18 | Dx_CIN | √ | X | 19 | Dx_CIN | X | √ | 20 | Dx_CIN | X | √ |
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