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Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse
BACKGROUND: Data loss often occurs in the collection of clinical data. Directly discarding the incomplete sample may lead to low accuracy of medical diagnosis. A suitable data imputation method can help researchers make better use of valuable medical data. METHODS: In this paper, five popular imputa...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629145/ https://www.ncbi.nlm.nih.gov/pubmed/37932660 http://dx.doi.org/10.1186/s12874-023-02079-0 |