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What is Hybrid Methods for Ovarian Cancer Detection about?
This research proposes two hybrid methods, SIFS-CART and UIFS-CART, for identifying ovarian cancer from imbalanced high-dimensional microarray data using infinite feature selection (IFS) and classification and regression tree (CART). The study demonstrates that SIFS-CART outperforms both UIFS-CART and CART without IFS by achieving higher balanced accuracy with fewer features. The research addresses challenges related to high-dimensionality and imbalanced data in cancer classification, providing a promising
- Author
- IAES IJAI
- Language
- EN