A hybrid feature weighting and selection-based strategy to classify the high-dimensional and imbalanced medical data
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09713-y.pdf
Reference48 articles.
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3. Haixiang G, Yijing L, Shang J et al (2017) Learning from class-imbalanced data: review of methods and applications. Expert Syst Appl 73:220–239. https://doi.org/10.1016/j.eswa.2016.12.035
4. Leevy JL, Khoshgoftaar TM, Bauder RA, Seliya N (2018) A survey on addressing high-class imbalance in big data. J Big Data 5:1–30. https://doi.org/10.1186/s40537-018-0151-6
5. Chawla NV (2009) Data mining for imbalanced datasets: an overview data mining and knowledge discovery handbook. Springer, Boston, pp 875–886
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