Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records

Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records

Abstract Background Acute Kidney Injury (AKI) is a multifactorial condition which presents a substantial burden to healthcare systems. There is limited evidence on whether it is seasonal. We sought to investigate the seasonality of AKI hospitalisations in England and use unsupervised machine learnin...

Full description

Bibliographic Details
Main Authors: Hikaru Bolt, Anne Suffel, Julian Matthewman, Frank Sandmann, Laurie Tomlinson, Rosalind Eggo
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Nephrology
Subjects:
Acute kidney injury
Seasonality
Phenotypes
Clustering
Online Access:https://doi.org/10.1186/s12882-023-03269-0

Similar Items

Similar Items