EHR2Vec: Representation Learning of Medical Concepts From Temporal Patterns of Clinical Notes Based on Self-Attention Mechanism

Efficiently learning representations of clinical concepts (i. e., symptoms, lab test, etc.) from unstructured clinical notes of electronic health record (EHR) data remain significant challenges, since each patient may have multiple visits at different times and each visit may contain different seque...

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Detalhes bibliográficos
Publicado no:Front Genet
Main Authors: Wang, Li, Wang, Qinghua, Bai, Heming, Liu, Cong, Liu, Wei, Zhang, Yuanpeng, Jiang, Lei, Xu, Huji, Wang, Kai, Zhou, Yunyun
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020
Assuntos:
Genetics
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7344186/
https://ncbi.nlm.nih.gov/pubmed/32714371
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.00630
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