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Optimizing Predictive Strategies for Acute Kidney Injury after Major Vascular Surgery
BACKGROUND: Postoperative acute kidney injury (AKI) is common after major vascular surgery, and is associated with increased morbidity, mortality and cost. High-performance risk stratification using a machine learning model can inform strategies that mitigate harm and optimize resource use. It is hy...
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| Foilsithe in: | Surgery |
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| Main Authors: | , , , , , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2021
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8276529/ https://ncbi.nlm.nih.gov/pubmed/33648766 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.surg.2021.01.030 |
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