A semi-supervised approach for extracting TCM clinical terms based on feature words.

Journal: BMC medical informatics and decision making
Published Date: Jul 9, 2020

Abstract

BACKGROUND: A semi-supervised model is proposed for extracting clinical terms of Traditional Chinese Medicine using feature words.

Authors

  • Liangliang Liu
    College of Automation, Harbin Engineering University, Harbin 150001, China.
  • Xiaojing Wu
    School of Data and Computer Science, Guangdong Province Key Lab of Computational Science, Sun Yat-sen University, Guangdong 510275, People's Republic of China.
  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Xinyu Cao
    China National Institute of Standardization, Beijing, China.
  • Haitao Wang
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Hongwei Zhou
    Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
  • Qi Xie
    Department of Academic Management, China Academy of Chinese Medical Sciences, Beijing, 100700, China. xieqixieqi@139.com.

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