An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study

An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study

Abstract Hemodialysis stands as the most prevalent renal replacement therapy globally. Accurately identifying mortality among hemodialysis patients is paramount importance, as it enables the formulation of tailored interventions and facilitates timely management. The objective of the study was to es...

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Bibliographic Details
Main Authors: Zhong Peng, Shuzhu Zhong, Xinyun Li, Fengyi Yu, Zixu Tang, Chunyuan Ma, Zihao Liao, Song Zhao, Yuan Xia, Haojun Fu, Wei Long, Mingxing Lei, Zhangxiu He
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Hemodialysis
Mortality
Machine learning
Prediction models
External validation
Online Access:https://doi.org/10.1038/s41598-025-06576-8
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