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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發表在: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
格式: Artigo
語言:Inglês
出版: BioMed Central 2019
主題:
Research
在線閱讀: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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