Prevalence of risk factors for cervical cancer induced by papillomavirusinfection: A fuzzy inference system modeling

[摘要] We investigated the additional risk factors, histological analysis, papillomavirus (HPV) load, number of pregnancies to screening accuracy in cervical cancer incidence in women screened at different ages using individual patient data from 58 women at high risk compared to reference cases. The goal of this study was to investigate the occurrence of invasive cervix cancer based on the prevalence of HPV infection among women between 18 and 80 years of age in Setif and Algiers Prefecture in Algeria. For this purpose, the sensitivity and specificity of HPV detection and the combination of the former tests were treated using artificial intelligence technique especially fuzzy logic inference. The results of this study may contribute to our understanding of cervical cancer and may provide useful data for the disease prognosis and therfore the prevention and treatment of this condition. After the system is established, we can based on the input values (HPV, Age and number of pregnancy) set randomly glance the cancer incidence at output in both numeric and linguistic term.

[学科分类] 药理学