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An efficient binary chimp optimization algorithm for feature selection in biomedical data classification
(SPRINGER LONDON LTD, 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND, 2022)
Accurate classification of high-dimensional biomedical data highly depends on the efficient recognition of the data’s main
features which can be used to assist diagnose related diseases. However, due to the existence of ...
Hybrid binary arithmetic optimization algorithm with simulated annealing for feature selection in high‑dimensional biomedical data
(SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2022)
Gene expression data play a signifcant role in the development of efective cancer
diagnosis and prognosis techniques. However, many redundant, noisy, and irrelevant
genes (features) are present in the data, which negatively ...