Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model

PURPOSE: The goal of this study is to construct a mortality prediction model using the XGBoot (eXtreme Gradient Boosting) decision tree model for AKI (acute kidney injury) patients in the ICU (intensive care unit), and to compare its performance with that of three other machine learning models. METH...

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Detalles Bibliográficos
Autores principales: Liu, Jialin, Wu, Jinfa, Liu, Siru, Li, Mengdie, Hu, Kunchang, Li, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861386/
https://www.ncbi.nlm.nih.gov/pubmed/33539390
http://dx.doi.org/10.1371/journal.pone.0246306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861386/
https://www.ncbi.nlm.nih.gov/pubmed/33539390
http://dx.doi.org/10.1371/journal.pone.0246306

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