Karamti, H.; Alharthi, R.; Anizi, A.A.; Alhebshi, R.M.; Eshmawi, A.A.; Alsubai, S.; Umer, M.
Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach. Cancers 2023, 15, 4412.
https://doi.org/10.3390/cancers15174412
AMA Style
Karamti H, Alharthi R, Anizi AA, Alhebshi RM, Eshmawi AA, Alsubai S, Umer M.
Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach. Cancers. 2023; 15(17):4412.
https://doi.org/10.3390/cancers15174412
Chicago/Turabian Style
Karamti, Hanen, Raed Alharthi, Amira Al Anizi, Reemah M. Alhebshi, Ala’ Abdulmajid Eshmawi, Shtwai Alsubai, and Muhammad Umer.
2023. "Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach" Cancers 15, no. 17: 4412.
https://doi.org/10.3390/cancers15174412
APA Style
Karamti, H., Alharthi, R., Anizi, A. A., Alhebshi, R. M., Eshmawi, A. A., Alsubai, S., & Umer, M.
(2023). Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach. Cancers, 15(17), 4412.
https://doi.org/10.3390/cancers15174412