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Comparison of Automated Sepsis Identification Methods and Electronic Health Record–based Sepsis Phenotyping: Improving Case Identification Accuracy by Accounting for Confounding Comorbid Conditions
To develop and evaluate a novel strategy that automates the retrospective identification of sepsis using electronic health record data. DESIGN: Retrospective cohort study of emergency department and in-hospital patient encounters from 2014 to 2018. SETTING: One community and two academic hospitals i...
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| Pubblicato in: | Crit Care Explor |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wolters Kluwer Health
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7063888/ https://ncbi.nlm.nih.gov/pubmed/32166234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/CCE.0000000000000053 |
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