Machine learning prediction model of acute kidney injury after percutaneous coronary intervention

Acute kidney injury (AKI) after percutaneous coronary intervention (PCI) is associated with a significant risk of morbidity and mortality. The traditional risk model provided by the National Cardiovascular Data Registry (NCDR) is useful for predicting the preprocedural risk of AKI, although the scor...

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Detalles Bibliográficos
Autores principales: Kuno, Toshiki, Mikami, Takahisa, Sahashi, Yuki, Numasawa, Yohei, Suzuki, Masahiro, Noma, Shigetaka, Fukuda, Keiichi, Kohsaka, Shun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760264/
https://www.ncbi.nlm.nih.gov/pubmed/35031637
http://dx.doi.org/10.1038/s41598-021-04372-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760264/
https://www.ncbi.nlm.nih.gov/pubmed/35031637
http://dx.doi.org/10.1038/s41598-021-04372-8

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