Complex associated network-based biomedical research structure mining
10.3969/j.issn.1671-3982.2015.08.001
- VernacularTitle:基于复杂关联网络的生物医学研究结构的挖掘
- Author:
Bo MIN
;
Aizhong LIU
;
Ping ZHENG
;
Yanli SHI
;
Chunxia TANG
- Publication Type:Journal Article
- Keywords:
Complex network;
Text mining;
Knowledge discovery;
Associated knowledge network
- From:Chinese Journal of Medical Library and Information Science
2015;(8):1-4
- CountryChina
- Language:Chinese
-
Abstract:
A biomedical entity association evolution network was constructed by mining the implicit associations in PubMed-covered literature, which can help scientific researchers to form new scientific hypotheses, to analyze the topological features of associated network, to study the scientific literature-enriched knowledge structure, associa-tions, development rules, to introduce new visual angles and methods for literature-based knowledge discovery, and to improve the knowledge discovery efficiency.
