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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer Health
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063888/ https://www.ncbi.nlm.nih.gov/pubmed/32166234 http://dx.doi.org/10.1097/CCE.0000000000000053 |