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Analysis Of Pap Smear Screening Factors Using Artificial Neural Network (Anns), Elaheh Allahyari, Mitra Moodi, Zoya Tahergorabi
Analysis Of Pap Smear Screening Factors Using Artificial Neural Network (Anns), Elaheh Allahyari, Mitra Moodi, Zoya Tahergorabi
BioMedicine
Introduction: cervical cancer is ranked as the third most prevalent cancer to affect women over the world and a Pap smear seems to be the single most critical intervention to prevent cervical cancer.
Aim: In the present study, the effects of demographic factors (age, education level, job, income level, marriage age, pregnancy, child number, breastfeeding, and menopause), insurance type, disease history (sonography and mammography, breast problem, and cancer) and cancer information on Pap smear screening behavior stage of change were investigated and modeled using an artificial neural network model (ANN).
Materials and Methods: Data were collected from a descriptive-analytical cross-sectional …