Paper Info
Title
Extraction of disease-treatment semantic relations from biomedical sentences
Abstract
This paper describes our study on identifying semantic relations that exist between diseases and treatments in biomedical sentences. We focus on three semantic relations: Cure, Prevent, and Side Effect. The contributions of this paper consists in the fact that better results are obtained compared to previous studies and the fact that our research settings allow the integration of biomedical and medical knowledge. We obtain 98.55% F-measure for the Cure relation, 100% F-measure for the Prevent relation, and 88.89% F-measure for the Side Effect relation.
Year
Venue
Keywords
2010
BioNLP@ACL
cure relation,previous study,biomedical sentence,disease-treatment semantic relation,better result,prevent relation,research setting,side effect relation,side effect,medical knowledge,semantic relation
Field
DocType
Citations 
Disease,Information retrieval,Computer science,Medical knowledge,Natural language processing,Artificial intelligence
Conference
6
PageRank 
References 
Authors
0.48
6
2
Name
Order
Citations
PageRank
Oana Frunza1757.02
Diana Inkpen2105987.92