Machine learning algorithm to predict the in-hospital mortality in critically ill patients with chronic kidney disease

BACKGROUND: This study aimed to establish and validate a machine learning (ML) model for predicting in-hospital mortality in critically ill patients with chronic kidney disease (CKD). METHODS: This study collected data on CKD patients from 2008 to 2019 using the Medical Information Mart for Intensiv...

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Detalles Bibliográficos
Autores principales: Li, Xunliang, Zhu, Yuyu, Zhao, Wenman, Shi, Rui, Wang, Zhijuan, Pan, Haifeng, Wang, Deguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201999/
https://www.ncbi.nlm.nih.gov/pubmed/37203863
http://dx.doi.org/10.1080/0886022X.2023.2212790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201999/
https://www.ncbi.nlm.nih.gov/pubmed/37203863
http://dx.doi.org/10.1080/0886022X.2023.2212790

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