Ordinal Logistic Regression Applied to the Identification of Risk Factors for Cervical Cancer
DOI:
https://doi.org/10.18041/1909-2458/ingeniare.17.582Keywords:
cancer, cervix, risk, logistic regression, random variables, sample, parametersAbstract
Identifying risk factors for cervical cancer is crucial to effectively conduct diagnostics which, in a given time, can be a key issue to save lives. From this perspective, this study was performed on a sample of 105 patients, which circumscribed to all women who went to the gynecologist in a campaign developed by the Health Secretary of the department of Atlántico, Colombia. Two instruments were used for data collection: The data linked to cervical cancer were recorded on a form developed for this purpose. In this study, the Cancer of the cervix (CCU) was considered as the dependent variable and factors related to birth [(Age (ed), number of live born children (OVC), Number of Children Born Dead (NHM), birth rate (tp) and type of pregnancy (I))] were regarded as independent variables. Finally, the characteristics of sexual behavior (venereal disease (VD): syphilis, herpes, gonorrhea or other) were also treated. In a general way, it is observed that the risk of cervical cancer is greater when the number of children increases in cesarean deliveries and there exist the loss of a child.
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