Discover Computing
High-performance next-generation screening technology system using teaching–learning-based optimization for cancer detection
Abstract Early and accurate detection of breast cancer remains challenging due to high-dimensional clinical data, feature redundancy, and limitations of existing diagnostic decision systems. To address these issues, this study proposes a hybrid feature selection and classification framework that improves prediction performance while reducing overfitting. The method combines a filter-based ReliefF algorithm with a wrapper-based Teaching–Learning-Based Optimisation (TLBO), referred to as Re-wTLBO, to identify a compa …