A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches - Solanki, Yogendra Singh; Chakrabarti, Prasun; Jasinski, Michal; Leonowicz, Zbigniew; Bolshev, Vadim; Vinogradov, Alexander; Jasinska, Elzbieta; Gono, Radomir; Nami, Mohammad (Electronics (Basel), 2021)
Keywords: Accuracy; Algorithms; Breast cancer; Classification; Classifiers; Data mining; Datasets; Decision trees; Experimentation; Feature selection; Machine learning; Medical diagnosis; Medical prognosis; Medical research; Model accuracy; Multilayer perceptrons; Neural networks; Particle swarm optimization; Performance evaluation; Prognosis; Search algorithms; Sensitivity; Statistics; Support vector machines; Womens health; United States--US; Wisconsin; India