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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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Dettagli Bibliografici
Pubblicato in:Front Genet
Autori principali: Wang, Li, Wang, Qinghua, Bai, Heming, Liu, Cong, Liu, Wei, Zhang, Yuanpeng, Jiang, Lei, Xu, Huji, Wang, Kai, Zhou, Yunyun
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2020
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Accesso online: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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