Clinical Prediction of Heart Failure in Hemodialysis Patients: Based on the Extreme Gradient Boosting Method

Clinical Prediction of Heart Failure in Hemodialysis Patients: Based on the Extreme Gradient Boosting Method

Background: Heart failure (HF) is the main cause of mortality in hemodialysis (HD) patients. However, it is still a challenge for the prediction of HF in HD patients. Therefore, we aimed to establish and validate a prediction model to predict HF events in HD patients.Methods: A total of 355 maintena...

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Bibliographic Details
Main Authors: Yanfeng Wang, Xisha Miao, Gang Xiao, Chun Huang, Junwei Sun, Ying Wang, Panlong Li, Xu You
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Genetics
Subjects:
machine learning
extreme gradient boosting
heart failure prediction
hemodialysis
risk factors
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.889378/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.889378/full

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