Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records

BACKGROUND: Systematic case identification is critical to improving population health, but widely used diagnosis code–based approaches for conditions like valvular heart disease are inaccurate and lack specificity. OBJECTIVE: To develop and validate natural language processing (NLP) algorithms to id...

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Detalles Bibliográficos
Autores principales: Solomon, Matthew D., Tabada, Grace, Allen, Amanda, Sung, Sue Hee, Go, Alan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Clinical
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890044/
https://www.ncbi.nlm.nih.gov/pubmed/35265904
http://dx.doi.org/10.1016/j.cvdhj.2021.03.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890044/
https://www.ncbi.nlm.nih.gov/pubmed/35265904
http://dx.doi.org/10.1016/j.cvdhj.2021.03.003

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