A Resampling Method to Improve the Prognostic Model of End-Stage Kidney Disease: A Better Strategy for Imbalanced Data

BACKGROUND: Prognostic models can help to identify patients at risk for end-stage kidney disease (ESKD) at an earlier stage to provide preventive medical interventions. Previous studies mostly applied the Cox proportional hazards model. The aim of this study is to present a resampling method, which...

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Detalles Bibliográficos
Autores principales: Shi, Xi, Qu, Tingyu, Van Pottelbergh, Gijs, van den Akker, Marjan, De Moor, Bart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935060/
https://www.ncbi.nlm.nih.gov/pubmed/35321465
http://dx.doi.org/10.3389/fmed.2022.730748

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935060/
https://www.ncbi.nlm.nih.gov/pubmed/35321465
http://dx.doi.org/10.3389/fmed.2022.730748

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