A system for automatically extracting clinical events with temporal information.

Journal: BMC medical informatics and decision making
Published Date: Aug 20, 2020

Abstract

BACKGROUND: The popularization of health and medical informatics yields huge amounts of data. Extracting clinical events on a temporal course is the foundation of enabling advanced applications and research. It is a structure of presenting information in chronological order. Manual extraction would be extremely challenging due to the quantity and complexity of the records.

Authors

  • Zhijing Li
    School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China. lizhijingwei@163.com.
  • Chen Li
    School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Yu Long
    School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China.
  • Xuan Wang
    Baylor Scott & White Health, Dallas, TX, USA.

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