Comparative analysis of feature selection techniques for COVID-19 dataset
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Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-69209-6.pdf
Reference49 articles.
1. Mishra, S. & Pradhan, R. K. Analyzing the impact of feature correlation on classification acuracy of machine learning model. In 2023 International Conference on Artificial Intelligence and Smart Communication (AISC) (2023).
2. Chandrashekar, G. & Sahin, F. A survey on feature selection methods. Comput. Electr. Eng. 40(1), 16–28 (2014).
3. Venkatesh, B. & Anuradha, J. A review of feature selection and its methods. Cybern. Inf. Technol. 19(1), 3–26 (2019).
4. Pudjihartono, N., Fadason, T., Kempa-Liehr, A. W. & O’Sullivan, J. M. A review of feature selection methods for machine learning-based disease risk prediction. Front. Bioinform. 2, 927312 (2022).
5. Uppu, S., Krishna, A. & Gopalan, R. P. A review on methods for detecting SNP interactions in high-dimensional genomic data. IEEE/ACM Trans. Comput. Biol. Bioinform. 15(2), 599–612 (2016).
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