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

CONCLUSION: High-risk factors for unsuccessful RRT weaning in severe AKI patients include prolonged RRT duration. Machine learning prediction models, when compared to models based on multivariate logistic regression using these indicators, offer distinct advantages in predictive accuracy.PMID:38416516 | DOI:10.1080/0886022X.2024.2319329

Source: Renal Failure - February 28, 2024 Category: Urology & Nephrology Authors: Qiqiang Liang Xin Xu Shuo Ding Jin Wu Man Huang Source Type: research