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

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 Intensive C...

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Bibliographic Details
Main Authors: Xunliang Li, Yuyu Zhu, Wenman Zhao, Rui Shi, Zhijuan Wang, Haifeng Pan, Deguang Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Renal Failure
Subjects:
Chronic kidney disease
machine learning
mortality
intensive care unit
critically care
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2023.2212790
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https://www.tandfonline.com/doi/10.1080/0886022X.2023.2212790

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