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Accuracy of Computable Phenotyping Approaches for SARS-CoV-2 Infection and COVID-19 Hospitalizations from the Electronic Health Record
OBJECTIVE: Real-world data have been critical for rapid-knowledge generation throughout the COVID-19 pandemic. To ensure high-quality results are delivered to guide clinical decision making and the public health response, as well as characterize the response to interventions, it is essential to esta...
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| Publicado en: | medRxiv |
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| Autores principales: | , , , , , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Cold Spring Harbor Laboratory
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8132274/ https://ncbi.nlm.nih.gov/pubmed/34013299 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2021.03.16.21253770 |
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