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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Principais autores:	Toshiki Kuno, Takahisa Mikami, Yuki Sahashi, Yohei Numasawa, Masahiro Suzuki, Shigetaka Noma, Keiichi Fukuda, Shun Kohsaka
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2022-01-01
סדרה:	Scientific Reports
גישה מקוונת:	https://doi.org/10.1038/s41598-021-04372-8
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