Benchmarking missing-values approaches for predictive models on health databases

BACKGROUND: As databases grow larger, it becomes harder to fully control their collection, and they frequently come with missing values. These large databases are well suited to train machine learning models, e.g., for forecasting or to extract biomarkers in biomedical settings. Such predictive appr...

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Detalles Bibliográficos
Autores principales: Perez-Lebel, Alexandre, Varoquaux, Gaël, Le Morvan, Marine, Josse, Julie, Poline, Jean-Baptiste
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012100/
https://www.ncbi.nlm.nih.gov/pubmed/35426912
http://dx.doi.org/10.1093/gigascience/giac013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012100/
https://www.ncbi.nlm.nih.gov/pubmed/35426912
http://dx.doi.org/10.1093/gigascience/giac013

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