Self–Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study

BACKGROUND: When using machine learning in the real world, the missing value problem is the first problem encountered. Methods to impute this missing value include statistical methods such as mean, expectation-maximization, and multiple imputations by chained equations (MICE) as well as machine lear...

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Detalles Bibliográficos
Autores principales: Gwon, Hansle, Ahn, Imjin, Kim, Yunha, Kang, Hee Jun, Seo, Hyeram, Cho, Ha Na, Choi, Heejung, Jun, Tae Joon, Kim, Young-Hak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552097/
https://www.ncbi.nlm.nih.gov/pubmed/34643539
http://dx.doi.org/10.2196/30824

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552097/
https://www.ncbi.nlm.nih.gov/pubmed/34643539
http://dx.doi.org/10.2196/30824

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