Filter-based feature selection methods in the presence of missing data for medical prediction models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15917-6.pdf
Reference40 articles.
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2. Alhassan AM, Wan Zainon WMN (2021) Review of feature selection, dimensionality reduction and classification for chronic disease diagnosis. IEEE Access 9:87310–87317. https://doi.org/10.1109/ACCESS.2021.3088613
3. Azur MJ, Stuart EA, Frangakis C et al (2011) Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res 20(1):40–49. https://doi.org/10.1002/mpr.329
4. Battiti R (1994) Using mutual information for selecting features in supervised neural net learning. IEEE Trans Neural Networks 5(4):537–550. https://doi.org/10.1109/72.298224
5. Bommert A, Sun X, Bischl B et al (2020) Benchmark for filter methods for feature selection in high-dimensional classification data. Comput Stat Data Anal 143(106):839. https://doi.org/10.1016/j.csda.2019.106839
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