Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning

Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning

AbstractBackground Predicting the successful weaning of acute kidney injury (AKI) patients from renal replacement therapy (RRT) has emerged as a research focus, and we successfully built predictive models for RRT withdrawal in patients with severe AKI by machine learning.Methods This retrospective s...

Full description

Bibliographic Details
Main Authors: Qiqiang Liang, Xin Xu, Shuo Ding, Jin Wu, Man Huang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Renal Failure
Subjects:
RRT weaning
AKI
machine learning
multivariate logic regression
prediction model
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2024.2319329

Internet

https://www.tandfonline.com/doi/10.1080/0886022X.2024.2319329

Similar Items