Feature Selection with Genetic Algorithm on Healthcare Datasets
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31164-2_30
Reference44 articles.
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2. Alhenawi, E., Al-Sayyed, R., Hudaib, A., Mirjalili, S.: Feature selection methods on gene expression microarray data for cancer classification: a systematic review. Comput. Biol. Med. 140, 105,051 (2022)
3. Ali, N., Neagu, D., Trundle, P.: Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets. SN Appl. Sci. 1(12), 1–15 (2019). https://doi.org/10.1007/s42452-019-1356-9
4. Advances in Intelligent Systems and Computing;M Batra,2018
5. Bolón-Canedo, V., Sánchez-Maroño, N., Alonso-Betanzos, A.: A review of feature selection methods on synthetic data. Knowl. Inf. Syst. 34(3), 483–519 (2013)
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