Uplift modeling to predict individual treatment effects of renal replacement therapy in sepsis-associated acute kidney injury patients

Uplift modeling to predict individual treatment effects of renal replacement therapy in sepsis-associated acute kidney injury patients

Abstract Renal replacement therapy (RRT) is a crucial treatment for sepsis-associated acute kidney injury (S-AKI), but it is uncertain which S-AKI patients should receive immediate RRT. Identifying the characteristics of patients who may benefit the most from RRT is an important task. This retrospec...

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Bibliographic Details
Main Authors: Guanggang Li, Bo Li, Bin Song, Dandan Liu, Yue Sun, Hongyan Ju, Xiuping Xu, Jingkun Mao, Feihu Zhou
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Sepsis associated acute kidney injury
Renal replacement therapy
Individual treatment effect
Online Access:https://doi.org/10.1038/s41598-024-55653-x

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