Clinical Application of Detecting COVID-19 Risks: A Natural Language Processing Approach

The clinical application of detecting COVID-19 factors is a challenging task. The existing named entity recognition models are usually trained on a limited set of named entities. Besides clinical, the non-clinical factors, such as social determinant of health (SDoH), are also important to study the...

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Detalles Bibliográficos
Autores principales: Bashir, Syed Raza, Raza, Shaina, Kocaman, Veysel, Qamar, Urooj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781729/
https://www.ncbi.nlm.nih.gov/pubmed/36560764
http://dx.doi.org/10.3390/v14122761

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781729/
https://www.ncbi.nlm.nih.gov/pubmed/36560764
http://dx.doi.org/10.3390/v14122761

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