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A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature
When one drug influences the level or activity of another drug this is known as a drug-drug interaction (DDI). Knowledge of such interactions is crucial for patient safety. However, the volume and content of published biomedical literature on drug interactions is expanding rapidly, making it increas...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3486804/ https://www.ncbi.nlm.nih.gov/pubmed/23133662 http://dx.doi.org/10.1371/journal.pone.0048901 |
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author | Zhang, Yijia Lin, Hongfei Yang, Zhihao Wang, Jian Li, Yanpeng |
author_facet | Zhang, Yijia Lin, Hongfei Yang, Zhihao Wang, Jian Li, Yanpeng |
author_sort | Zhang, Yijia |
collection | PubMed |
description | When one drug influences the level or activity of another drug this is known as a drug-drug interaction (DDI). Knowledge of such interactions is crucial for patient safety. However, the volume and content of published biomedical literature on drug interactions is expanding rapidly, making it increasingly difficult for DDIs database curators to detect and collate DDIs information manually. In this paper, we propose a single kernel-based approach to extract DDIs from biomedical literature. This novel kernel-based approach can effectively make full use of syntactic structural information of the dependency graph. In particular, our approach can efficiently represent both single subgraph topological information and the relation of two subgraphs in the dependency graph. Experimental evaluations showed that our single kernel-based approach can achieve state-of-the-art performance on the publicly available DDI corpus without exploiting multiple kernels or additional domain resources. |
format | Online Article Text |
id | pubmed-3486804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34868042012-11-06 A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature Zhang, Yijia Lin, Hongfei Yang, Zhihao Wang, Jian Li, Yanpeng PLoS One Research Article When one drug influences the level or activity of another drug this is known as a drug-drug interaction (DDI). Knowledge of such interactions is crucial for patient safety. However, the volume and content of published biomedical literature on drug interactions is expanding rapidly, making it increasingly difficult for DDIs database curators to detect and collate DDIs information manually. In this paper, we propose a single kernel-based approach to extract DDIs from biomedical literature. This novel kernel-based approach can effectively make full use of syntactic structural information of the dependency graph. In particular, our approach can efficiently represent both single subgraph topological information and the relation of two subgraphs in the dependency graph. Experimental evaluations showed that our single kernel-based approach can achieve state-of-the-art performance on the publicly available DDI corpus without exploiting multiple kernels or additional domain resources. Public Library of Science 2012-11-01 /pmc/articles/PMC3486804/ /pubmed/23133662 http://dx.doi.org/10.1371/journal.pone.0048901 Text en © 2012 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhang, Yijia Lin, Hongfei Yang, Zhihao Wang, Jian Li, Yanpeng A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature |
title | A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature |
title_full | A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature |
title_fullStr | A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature |
title_full_unstemmed | A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature |
title_short | A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature |
title_sort | single kernel-based approach to extract drug-drug interactions from biomedical literature |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3486804/ https://www.ncbi.nlm.nih.gov/pubmed/23133662 http://dx.doi.org/10.1371/journal.pone.0048901 |
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