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Machine learning model for predicting acute kidney injury progression in critically ill patients
BACKGROUND: Acute kidney injury (AKI) is a serve and harmful syndrome in the intensive care unit. Comparing to the patients with AKI stage 1/2, the patients with AKI stage 3 have higher in-hospital mortality and risk of progression to chronic kidney disease. The purpose of this study is to develop a...
| Egile Nagusiak: | , , , , |
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| Formatua: | Online Artikulua Texto |
| Hizkuntza: | English |
| Argitaratua: |
BioMed Central
2022
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| Gaiak: | |
| Sarrera elektronikoa: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772216/ https://www.ncbi.nlm.nih.gov/pubmed/35045840 http://dx.doi.org/10.1186/s12911-021-01740-2 |