Evaluation of a Concept Mapping Task Using Named Entity Recognition and Normalization in Unstructured Clinical Text

In this pilot study, we explore the feasibility and accuracy of using a query in a commercial natural language processing engine in a named entity recognition and normalization task to extract a wide spectrum of clinical concepts from free text clinical letters. Editorial guidance developed by two i...

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Detalles Bibliográficos
Autores principales: Trivedi, Sapna, Gildersleeve, Roger, Franco, Sandra, Kanter, Andrew S., Chaudhry, Afzal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982815/
https://www.ncbi.nlm.nih.gov/pubmed/35415451
http://dx.doi.org/10.1007/s41666-020-00079-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982815/
https://www.ncbi.nlm.nih.gov/pubmed/35415451
http://dx.doi.org/10.1007/s41666-020-00079-z

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