Significance of platelets in the early warning of new-onset AKI in the ICU by using supervise learning: a retrospective analysis

Significance of platelets in the early warning of new-onset AKI in the ICU by using supervise learning: a retrospective analysis

Objective To explore a machine learning model for the early prediction of acute kidney injury (AKI) and to screen the related factors affecting new-onset AKI in the ICU.Methods A retrospective analysis was performed used the MIMIC-III data source. New onset of AKI defined based on the serum creatini...

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Bibliographic Details
Main Authors: Pan Pan, Yuhong Liu, Fei Xie, Zhimei Duan, Lina Li, Hongjun Gu, Lixin Xie, Xiangyun Lu, Longxiang Su
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Renal Failure
Subjects:
Acute kidney injury
critical care
machine learning
predictive model
influencing factors
platelet
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2023.2194433
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