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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058983/ https://www.ncbi.nlm.nih.gov/pubmed/33879228 http://dx.doi.org/10.1186/s13223-021-00541-6 |