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Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data
BACKGROUND: A major problem in treating acute kidney injury (AKI) is that clinical criteria for recognition are markers of established kidney damage or impaired function; treatment before such damage manifests is desirable. Clinicians could intervene during what may be a crucial stage for preventing...
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| Pubblicato in: | Can J Kidney Health Dis |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SAGE Publications
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6080076/ https://ncbi.nlm.nih.gov/pubmed/30094049 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/2054358118776326 |
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