Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Jul 29, 2015

Abstract

OBJECTIVE: Traditional Chinese medicine (TCM) is a unique and complex medical system that has developed over thousands of years. This article studies the problem of automatically extracting meaningful relations of entities from TCM literature, for the purposes of assisting clinical treatment or poly-pharmacology research and promoting the understanding of TCM in Western countries.

Authors

  • Huaiyu Wan
    Department of Computer Science and Technology, Tsinghua University, Beijing, China School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.
  • Marie-Francine Moens
  • Walter Luyten
    Department of Biology, KU Leuven, Belgium.
  • Xuezhong Zhou
    School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.
  • Qiaozhu Mei
    University of Michigan, Ann Arbor, MI.
  • Lu Liu
    College of Pharmacy, Harbin Medical University, Harbin, China.
  • Jie Tang
    Department of Computer Science and Technology, Tsinghua University, Beijing, China jietang@tsinghua.edu.cn.

Keywords

External Resources

Popular Topics
Recent Journals