Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques

Research article (PLoS ONE, 2023) · cited 11× · AI/ML
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Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques

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Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/extracting-relevant-predictive-variables-for-covid-19-severity-prognosis-an-exhaustive-comparison-of-feature-selection-t
MLA “Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extracting-relevant-predictive-variables-for-covid-19-severity-prognosis-an-exhaustive-comparison-of-feature-selection-t.
BibTeX @misc{4ortxyz_extracting-relevant-predictive-variables-for-covid-19-severity-prognosis-an-exhaustive-comparison-of-feature-selection-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques}}, year = {2026}, url = {https://4ort.xyz/entity/extracting-relevant-predictive-variables-for-covid-19-severity-prognosis-an-exhaustive-comparison-of-feature-selection-t}, note = {Accessed: 2026-05-24}}
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