Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning - Aljrees, Turki (PloS one, 2024)
Keywords: Accuracy; Algorithms; Artificial intelligence; Cancer; Cancer therapies; Care and treatment; Cellular biology; Cervical cancer; Cervix; Computer and Information Sciences; Datasets; Diagnosis; Disease; Electronic health records; Engineering and Technology; Ensemble learning; Evaluation; Female; Forecasts and trends; Health aspects; Human error; Human papillomavirus; Humans; Illnesses; Industrialized nations; Learning algorithms; Machine Learning; Medical diagnosis; Medical tests; Medicine and Health Sciences; Mental Recall; Missing data; Mortality; Oncology, Experimental; Pap smear; Physical Sciences; Public health; Research and Analysis Methods; Research Design; Support vector machines; Testing procedures; Uterine Cervical Neoplasms - diagnosis; Women; Womens health; Saudi Arabia; Europe