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Leveraging unstructured data to identify hereditary angioedema patients in electronic medical records
BACKGROUND: The epidemiologic impact of hereditary angioedema (HAE) is difficult to quantify, due to misclassification in retrospective studies resulting from non-specific diagnostic coding. The aim of this study was to identify cohorts of patients with HAE-1/2 by evaluating structured and unstructu...
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| Publicado no: | Allergy Asthma Clin Immunol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8058983/ https://ncbi.nlm.nih.gov/pubmed/33879228 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13223-021-00541-6 |
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