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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...
Autores principales: | Kuno, Toshiki, Mikami, Takahisa, Sahashi, Yuki, Numasawa, Yohei, Suzuki, Masahiro, Noma, Shigetaka, Fukuda, Keiichi, Kohsaka, Shun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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