Machine learning prediction model of acute kidney injury after percutaneous coronary intervention
Abstract 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...
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| Auteurs principaux: | , , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Portfolio
2022-01-01
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| Collection: | Scientific Reports |
| Accès en ligne: | https://doi.org/10.1038/s41598-021-04372-8 |
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