Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing

BACKGROUND: Abstracting cerebrovascular disease (CeVD) from inpatient electronic medical records (EMRs) through natural language processing (NLP) is pivotal for automated disease surveillance and improving patient outcomes. Existing methods rely on coders’ abstraction, which has time delays and unde...

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Detalles Bibliográficos
Autores principales: Pan, Jie, Zhang, Zilong, Peters, Steven Ray, Vatanpour, Shabnam, Walker, Robin L., Lee, Seungwon, Martin, Elliot A., Quan, Hude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474977/
https://www.ncbi.nlm.nih.gov/pubmed/37658963
http://dx.doi.org/10.1186/s40708-023-00203-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474977/
https://www.ncbi.nlm.nih.gov/pubmed/37658963
http://dx.doi.org/10.1186/s40708-023-00203-w

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