Time-sensitive clinical concept embeddings learned from large electronic health records

BACKGROUND: Learning distributional representation of clinical concepts (e.g., diseases, drugs, and labs) is an important research area of deep learning in the medical domain. However, many existing relevant methods do not consider temporal dependencies along the longitudinal sequence of a patient’s...

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Detalhes bibliográficos
Publicado no:BMC Med Inform Decis Mak
Main Authors: Xiang, Yang, Xu, Jun, Si, Yuqi, Li, Zhiheng, Rasmy, Laila, Zhou, Yujia, Tiryaki, Firat, Li, Fang, Zhang, Yaoyun, Wu, Yonghui, Jiang, Xiaoqian, Zheng, Wenjin Jim, Zhi, Degui, Tao, Cui, Xu, Hua
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6454598/
https://ncbi.nlm.nih.gov/pubmed/30961579
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0766-3
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