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A clinical, proteomics, and artificial intelligence‐driven model to predict acute kidney injury in patients undergoing coronary angiography
BACKGROUND: Standard measures of kidney function are only modestly useful for accurate prediction of risk for acute kidney injury (AKI). HYPOTHESIS: Clinical and biomarker data can predict AKI more accurately. METHODS: Using Luminex xMAP technology, we measured 109 biomarkers in blood from 889 patie...
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| Publicado no: | Clin Cardiol |
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| Principais autores: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley Periodicals, Inc.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6712314/ https://ncbi.nlm.nih.gov/pubmed/30582197 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/clc.23143 |
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