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...

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Опубликовано в: :Sci Rep
Главные авторы: Thompson, Jeffrey, Hu, Jinxiang, Mudaranthakam, Dinesh Pal, Streeter, David, Neums, Lisa, Park, Michele, Koestler, Devin C., Gajewski, Byron, Jensen, Roy, Mayo, Matthew S.
Формат: Artigo
Язык:Inglês
Опубликовано: Nature Publishing Group UK 2019
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Article
Online-ссылка: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
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