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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Front Genet
Hauptverfasser: Wang, Li, Wang, Qinghua, Bai, Heming, Liu, Cong, Liu, Wei, Zhang, Yuanpeng, Jiang, Lei, Xu, Huji, Wang, Kai, Zhou, Yunyun
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2020
Schlagworte:
Genetics
Online Zugang: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
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge