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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Bibliografiske detaljer
Udgivet i:Front Genet
Main Authors: Wang, Li, Wang, Qinghua, Bai, Heming, Liu, Cong, Liu, Wei, Zhang, Yuanpeng, Jiang, Lei, Xu, Huji, Wang, Kai, Zhou, Yunyun
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Genetics
Online adgang: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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