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Predicting Major Adverse Kidney Events among Critically Adults Using the Electronic Health Record
INTRODUCTION: Prediction of major adverse kidney events in critically ill patients may help target therapy, allow risk adjustment, and facilitate the conduct of clinical trials. METHODS: In a cohort comprised of all critically ill adults admitted to five intensive care units at a single tertiary car...
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| Pubblicato in: | J Med Syst |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5821255/ https://ncbi.nlm.nih.gov/pubmed/28861688 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10916-017-0806-4 |
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