Breast cancer diagnosis using GA feature selection and Rotation Forest - Aličković, Emina; Subasi, Abdulhamit (Neural computing & applications, 2017)
Keywords: Accuracy; Artificial Intelligence; Breast cancer; Classification; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data mining; Data Mining and Knowledge Discovery; Decision making; Diagnosis; Feature extraction; Genetic algorithms; Image Processing and Computer Vision; Medical diagnosis; Original Article; Probability and Statistics in Computer Science; Rotation; Genetic algorithm (GA); Logistic Regression; Rotation Forest; Support Vector Machine (SVM); Bayesian Network; Decision Trees; Radial Basis Function Networks (RBFN); Multilayer Perceptron (MLP); Breast cancer diagnosis; Random Forest