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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Bibliografiset tiedot
Julkaisussa:Front Genet
Päätekijät: Wang, Li, Wang, Qinghua, Bai, Heming, Liu, Cong, Liu, Wei, Zhang, Yuanpeng, Jiang, Lei, Xu, Huji, Wang, Kai, Zhou, Yunyun
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Frontiers Media S.A. 2020
Aiheet:
Genetics
Linkit: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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