Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques

Table 1

Comparison of a research review on risk factors for cervical cancer.

Article	Risk factors discussed	Imported feature (age group)	Possible cancer types
[15]	Human papilloma-virus (HPV) infection	18-35	Cervical cancer, breast cancer
[16]	Sexual history	Under 18 and above	Carcinoma, cervical cancer
[17]	Smoking	All age groups	Lung, cervical, and breast cancer
[18]	Weakened immune system	30-60	Carcinoma, cervical cancer
[19]	Chlamydia infection	All age groups	Carcinoma, cervical cancer
[20]	Oral contraceptives do with a long period (birth control pills)	18-50	Cervical cancer, lung
[21]	Several full-term pregnancies	18-40	Cervical cancer, lung
[22]	First full-term pregnancy at a young age	25-60	Cervical cancer, lung
[23]	A diet deficient in fruits and veggies	22-56	Cervical cancer, lung
[24]	Smoking and HPV	11-60	Cervical cancer, lung
[25]	Use of pills (pregnancy)	22-45	Cervical cancer, lung
[26]	Early pregnancy, HPV	13-18	Cervical cancer, lung
[27]	HPV and weaker immunity	18-50	Cervical cancer, lung