Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the USResearch in context

Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the USResearch in context

Summary: Background: COVID-19 has been linked to acute kidney injury (AKI) and chronic kidney disease (CKD), but machine learning (ML) models predicting these risks post-pandemic have been absent. We aimed to use large electronic health records (EHR) and ML algorithms to predict the incidence of AK...

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Bibliographic Details
Main Authors: Yue Zhang, Nasrollah Ghahramani, Runjia Li, Vernon M. Chinchilli, Djibril M. Ba
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:EBioMedicine
Subjects:
COVID-19
Kidney diseases
Machine learning
Real world data
Electronic health records
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396425001707
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