Feature Selection-Assisted Support Vector Machine Classification of Breast Cancer Mammographic Outcomes
Aims: This study assessed the effect of feature selection on Support Vector Machine classification of breast cancer mammographic outcomes using image-derived mammographic predictors. Study Design: The study adopted a secondary-data comparative statistical learning design. Place and Duration of Study: The study used t...