Cervical cancer detection using K nearest neighbor imputer and stacked ensemble learningmodel.

This research delves into the challenge of handling missing data in the dataset utilized for cervical cancer detection. The findings have the potential to assist healthcare professionals in achieving early detection and enhancing the quality of care provided to individuals affected by cervical cancer.