13 January 2012 GDRMS: a system for automatic extraction of the disease-centre relation
Author Affiliations +
Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 834919 (2012); doi: 10.1117/12.920236
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore
Abstract
With the rapidly increasing of biomedical literature, the deluge of new articles is leading to information overload. Extracting the available knowledge from the huge amount of biomedical literature has become a major challenge. GDRMS is developed as a tool that extracts the relationship between disease and gene, gene and gene from biomedical literatures using text mining technology. It is a ruled-based system which also provides disease-centre network visualization, constructs the disease-gene database, and represents a gene engine for understanding the function of the gene. The main focus of GDRMS is to provide a valuable opportunity to explore the relationship between disease and gene for the research community about etiology of disease.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronggen Yang, Yue Zhang, Lejun Gong, "GDRMS: a system for automatic extraction of the disease-centre relation", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834919 (13 January 2012); doi: 10.1117/12.920236; https://doi.org/10.1117/12.920236
PROCEEDINGS
5 PAGES


SHARE
KEYWORDS
Biomedical optics

Databases

Mining

Visualization

Associative arrays

Breast cancer

Diagnostics and therapeutics

Back to Top