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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2012-01-01
|
| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3486804?pdf=render |
| _version_ | 1818859026082955264 |
|---|---|
| author | Yijia Zhang Hongfei Lin Zhihao Yang Jian Wang Yanpeng Li |
| author_facet | Yijia Zhang Hongfei Lin Zhihao Yang Jian Wang Yanpeng Li |
| author_sort | Yijia Zhang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T09:05:38Z |
| format | Article |
| id | doaj.art-d85a733c55474f7cac9ab1f5ec67ad26 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-19T09:05:38Z |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-d85a733c55474f7cac9ab1f5ec67ad262022-12-21T20:28:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01711e4890110.1371/journal.pone.0048901A single kernel-based approach to extract drug-drug interactions from biomedical literature.Yijia ZhangHongfei LinZhihao YangJian WangYanpeng LiWhen 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.http://europepmc.org/articles/PMC3486804?pdf=render |
| spellingShingle | Yijia Zhang Hongfei Lin Zhihao Yang Jian Wang Yanpeng Li A single kernel-based approach to extract drug-drug interactions from biomedical literature. PLoS ONE |
| 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 |
| url | http://europepmc.org/articles/PMC3486804?pdf=render |
| work_keys_str_mv | AT yijiazhang asinglekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature AT hongfeilin asinglekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature AT zhihaoyang asinglekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature AT jianwang asinglekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature AT yanpengli asinglekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature AT yijiazhang singlekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature AT hongfeilin singlekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature AT zhihaoyang singlekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature AT jianwang singlekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature AT yanpengli singlekernelbasedapproachtoextractdrugdruginteractionsfrombiomedicalliterature |