A fusion framework to extract typical treatment patterns from electronic medical records.

Journal: Artificial intelligence in medicine
Published Date: Dec 28, 2019

Abstract

OBJECTIVE: Electronic Medical Records (EMRs) contain temporal and heterogeneous doctor order information that can be used for treatment pattern discovery. Our objective is to identify "right patient", "right drug", "right dose", "right route", and "right time" from doctor order information.

Authors

  • Jingfeng Chen
    Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China; Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
  • Leilei Sun
    Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China; State Key Laboratory of Software Development Environment and Big Data Brain Computing Lab (SKLSDE and BDBC Lab), Beihang University, Beijing 100191, China.
  • Chonghui Guo
    Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China. Electronic address: dlutguo@dlut.edu.cn.
  • Yanming Xie
    Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. Electronic address: ktzu2017@163.com.

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