Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records

Electronic health records (EHR) represent a rich resource for conducting observational studies, supporting clinical trials, and more. However, much of the data contains unstructured text, presenting an obstacle to automated extraction. Natural language processing (NLP) can structure and learn from t...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Thompson, Jeffrey, Hu, Jinxiang, Mudaranthakam, Dinesh Pal, Streeter, David, Neums, Lisa, Park, Michele, Koestler, Devin C., Gajewski, Byron, Jensen, Roy, Mayo, Matthew S.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2019
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6592944/
https://ncbi.nlm.nih.gov/pubmed/31239489
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-45705-y
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados