Clinical Concept Extraction with Lexical Semantics to Support Automatic Annotation

Extracting clinical concepts, such as problems, diagnosis, and treatment, from unstructured clinical narrative documents enables data-driven approaches such as machine and deep learning to support advanced applications such as clinical decision-support systems, the assessment of disease progression,...

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Detalles Bibliográficos
Autores principales: Abbas, Asim, Afzal, Muhammad, Hussain, Jamil, Ali, Taqdir, Bilal, Hafiz Syed Muhammad, Lee, Sungyoung, Jeon, Seokhee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535468/
https://www.ncbi.nlm.nih.gov/pubmed/34682315
http://dx.doi.org/10.3390/ijerph182010564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535468/
https://www.ncbi.nlm.nih.gov/pubmed/34682315
http://dx.doi.org/10.3390/ijerph182010564

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