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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Detalles Bibliográficos
Autores principales: Brouwer, Emily S., Bratton, Emily W., Near, Aimee M., Sanders, Lynn, Mack, Christina D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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

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