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

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 learning to exp...

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Detalles Bibliográficos
Autores principales: Bolt, Hikaru, Suffel, Anne, Matthewman, Julian, Sandmann, Frank, Tomlinson, Laurie, Eggo, Rosalind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413486/
https://www.ncbi.nlm.nih.gov/pubmed/37558976
http://dx.doi.org/10.1186/s12882-023-03269-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413486/
https://www.ncbi.nlm.nih.gov/pubmed/37558976
http://dx.doi.org/10.1186/s12882-023-03269-0

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