A novel MissForest-based missing values imputation approach with recursive feature elimination in medical applications
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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A novel MissForest-based missing values imputation approach with recursive feature elimination in medical applications ; volume:24 ; number:1 ; day:8 ; month:11 ; year:2024 ; pages:1-12 ; date:12.2024
BMC medical research methodology ; 24, Heft 1 (8.11.2024), 1-12, 12.2024
- Creator
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Hu, Ya-Han
Wu, Ruei-Yan
Lin, Yen-Cheng
Lin, Ting-Yin
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12874-024-02392-2
- URN
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urn:nbn:de:101:1-2501262116184.756819756443
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:24 AM CEST
Data provider
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Associated
- Hu, Ya-Han
- Wu, Ruei-Yan
- Lin, Yen-Cheng
- Lin, Ting-Yin
- SpringerLink (Online service)
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Multiple imputation methods for missing multilevel ordinal outcomes
Imputation methods for missing data for polygenic models
Multiple imputation of missing data in multilevel research
Semiparametric regression analysis under imputation for missing response data
Multiple Imputation of Missing Composite Outcomes in Longitudinal Data
Missing Data, Imputation, and Endogeneity
Missing value imputation for epistatic MAPs
Fast accurate missing SNP genotype local imputation
SICE: an improved missing data imputation technique
Imputation of missing values in lipidomic datasets
IMPUTATION OF MISSING VALUES BY USING RAW MOMENTS
Missing Tariffs, False Imputation, and the Trade Elasticity
Multiple imputation methods for missing multilevel ordinal outcomes
Imputation methods for missing data for polygenic models
Multiple imputation of missing data in multilevel research
Semiparametric regression analysis under imputation for missing response data