Machine learning model and nomogram to predict the risk of heart failure hospitalization in peritoneal dialysis patients

Machine learning model and nomogram to predict the risk of heart failure hospitalization in peritoneal dialysis patients

AbstractIntroduction The study presented here aimed to establish a predictive model for heart failure (HF) and all-cause mortality in peritoneal dialysis (PD) patients with machine learning (ML) algorithm.Methods We retrospectively included 1006 patients who initiated PD from 2010 to 2016. XGBoost,...

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Bibliographic Details
Main Authors: Liping Xu, Fang Cao, Lian Wang, Weihua Liu, Meizhu Gao, Li Zhang, Fuyuan Hong, Miao Lin
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Renal Failure
Subjects:
Peritoneal dialysis
machine learning
all-cause mortality
heart failure
complications
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2024.2324071

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https://www.tandfonline.com/doi/10.1080/0886022X.2024.2324071

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