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...

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Detalles Bibliográficos
Autores principales: FAN, Mingxuan, Peng, Xiaoling, Niu, Xiaoyu, Cui, Tao, He, Qiaolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

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