Comparison of Clusters Algorithms to Identify Patterns in Information Related to Cervical Cancer

Cervical cancer is the third cause of female death worldwide. Cervical cytology carried out on women with an active sexual life helps in the detection of changes in cervical cells. Cytology results vary from normal to anormal changes in cervical cells. Many factors increase the risk of developing cervical cancer, one of them is having HPV due to sexual behaviors owed to cultural and demographics characteristics. This study aims to identify patterns in women with HPV from the south of Ecuador. Cluster analysis was conducted applying DBSCAN and PAM algorithms in a dataset of 143 patients with HPV. Results show differences between marital status, most of married and divorced women around 30 to 51 years old have HSIL cytology results, meanwhile most of the single women around 19 to 29 years old have LSIL cytology results. This suggests that single young women, unlike married ones, do not neglect prevention and controls of cervical cancer.