Neural Translation and Automated Recognition of ICD-10 Medical Entities From Natural Language: Model Development and Performance Assessment

BACKGROUND: The recognition of medical entities from natural language is a ubiquitous problem in the medical field, with applications ranging from medical coding to the analysis of electronic health data for public health. It is, however, a complex task usually requiring human expert intervention, t...

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Detalles Bibliográficos
Autores principales: Falissard, Louis, Morgand, Claire, Ghosn, Walid, Imbaud, Claire, Bounebache, Karim, Rey, Grégoire
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039820/
https://www.ncbi.nlm.nih.gov/pubmed/35404262
http://dx.doi.org/10.2196/26353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039820/
https://www.ncbi.nlm.nih.gov/pubmed/35404262
http://dx.doi.org/10.2196/26353

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