EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

Journal: Artificial intelligence in medicine
Published Date: Apr 23, 2018

Abstract

OBJECTIVE: Electronic medical records (EMRs) contain medical knowledge that can be used for clinical decision support (CDS). Our objective is to develop a general system that can extract and represent knowledge contained in EMRs to support three CDS tasks-test recommendation, initial diagnosis, and treatment plan recommendation-given the condition of a patient.

Authors

  • Chao Zhao
    Department of Hygienic Inspection, School of Public Health, Jilin University 1163 Xinmin Street Changchun 130021 Jilin China songxiuling@jlu.edu.cn li_juan@jlu.edu.cn jinmh@jlu.edu.cn +86 43185619441.
  • Jingchi Jiang
    School of Computer Science and Technology, Harbin Institute of Technology, Integrated Laboratory Building 803, Harbin 150001, China. Electronic address: jiangjingchi0118@163.com.
  • Yi Guan
    School of Computer Science and Technology, Harbin Institute of Technology, Integrated Laboratory Building 803, Harbin 150001, China. Electronic address: guanyi@hit.edu.cn.
  • Xitong Guo
    School of Management, Harbin Institute of Technology, Harbin 150001, China. Electronic address: xitongguo@hit.edu.cn.
  • Bin He
    Clinical Translational Medical Center, The Affiliated Dongguan Songshan Lake Central Hospital, Guangdong Medical University, Dongguan, Guangdong, China.

Keywords

External Resources

Popular Topics
Recent Journals