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Amira Al Anizi on Muck Rack

Amira Al Anizi

As seen in: MDPI
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Articles

Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach

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By Hanen Karamti, Raed Alharthi, Amira Al Anizi, Reemah M. Alhebshi
| MDPI
1. Introduction Cervical cancer is a form of cancer that arises in the cells of the cervix, the lower region of the uterus that connects to the vagina. Typically, cervical cancer is initiated by an infection resulting from human papillomavirus (HPV), a sexually transmitted infection. HPV is a prevalent virus capable of inducing abnormal alterations in cervical cells, which, if left untreated, can potentially progress into cancer [1].
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