A novel MissForest-based missing values imputation approach with recursive feature elimination in medical applications
This study demonstrates that RFE-MF holds promise as an effective imputation method for medical datasets, providing a novel approach to addressing missing data challenges in medical applications.
Authors
- Tsung‐I Lin (ORCID: https://orcid.org/0000-0002-3992-1128)
- Riga Wu (ORCID: https://orcid.org/0000-0002-8594-2843)
- Ya‐Han Hu (ORCID: https://orcid.org/0000-0002-3285-2983)
- Yen-Cheng Lin (ORCID: https://orcid.org/0009-0002-4751-1126)
Institutions
- National Central University (TW)
- Chia-Yi Christian Hospital (TW)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1186/s12874-024-02392-2
- Citations
- 17
- Primary Topic
- Face and Expression Recognition
- Type
- article
- Field-Weighted Citation Impact
- 4.24
Funders
- National Science and Technology Council