Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records

BACKGROUND: Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and models are limited in biomedical and clinical domains. The BioCreative/OHNLP2018 o...

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Detalles Bibliográficos
Autores principales: Chen, Qingyu, Du, Jingcheng, Kim, Sun, Wilbur, W. John, Lu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191680/
https://www.ncbi.nlm.nih.gov/pubmed/32349758
http://dx.doi.org/10.1186/s12911-020-1044-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191680/
https://www.ncbi.nlm.nih.gov/pubmed/32349758
http://dx.doi.org/10.1186/s12911-020-1044-0

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