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

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.

Methods

Instead of separately extracting each relation from a single sentence or document, we propose to collectively and globally extract multiple types of relations (eg, herb-syndrome, herb-disease, formula-syndrome, formula-disease, and syndrome-disease relations) from the entire corpus of TCM literature, from the perspective of network mining. In our analysis, we first constructed heterogeneous

SUBMITTER: Wan H 

PROVIDER: S-EPMC7784314 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature