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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Yue Zhang, Nasrollah Ghahramani, Runjia Li, Vernon M. Chinchilli, Djibril M. Ba
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2025-05-01
Saila:	EBioMedicine
Gaiak:	COVID-19 Kidney diseases Machine learning Real world data Electronic health records
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2352396425001707
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!