research-article

Combining syntactic information and domain-specific lexical patterns to extract drug-drug interactions from biomedical texts

Authors:

Isabel Segura-Bedmar,

Paloma Martínez,

César de Pablo-SánchezAuthors Info & Claims

DTMBIO '10: Proceedings of the ACM fourth international workshop on Data and text mining in biomedical informatics

Pages 49 - 56

https://doi.org/10.1145/1871871.1871881

Published: 26 October 2010 Publication History

Abstract

A drug-drug interaction (DDI) occurs when one drug influences the level or activity of another drug. The increasing volume of the scientific literature overwhelms health care professionals trying to be kept up-to-date with all published studies on DDI. Information Extraction (IE) techniques can provide an interesting way of reducing the time spent by health care professionals on reviewing the literature. Nevertheless, no approach has been carried out to extract DDI from texts. To the best of our knowledge, this work proposes the first integral solution for the automatic extraction of DDI from biomedical texts.

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Cited By

Sun XMa LDu XFeng JDong K(2018)Deep Convolution Neural Networks for Drug-Drug Interaction Extraction2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM.2018.8621405(1662-1668)Online publication date: Dec-2018
https://doi.org/10.1109/BIBM.2018.8621405
Ibrahim HSaad AAbdo ASharaf Eldin A(2016)Mining association patterns of drug-interactions using post marketing FDA's spontaneous reporting dataJournal of Biomedical Informatics10.1016/j.jbi.2016.02.00960:C(294-308)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1016/j.jbi.2016.02.009
Yang HYang C(2014)Drug-Drug Interactions Detection from Online Heterogeneous Healthcare NetworksProceedings of the 2014 IEEE International Conference on Healthcare Informatics10.1109/ICHI.2014.9(7-16)Online publication date: 15-Sep-2014
https://dl.acm.org/doi/10.1109/ICHI.2014.9
Show More Cited By

Index Terms

Combining syntactic information and domain-specific lexical patterns to extract drug-drug interactions from biomedical texts
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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cover image ACM Conferences

DTMBIO '10: Proceedings of the ACM fourth international workshop on Data and text mining in biomedical informatics

October 2010

78 pages

ISBN:9781450303828

DOI:10.1145/1871871

General Chairs:
Doheon Kim
KAIST, Korea
,
Hagit Shatkay
Queen's University, Canada
,
Program Chairs:
Min Song
New Jersey Institute of Technology, USA
,
Shamkant Navathe
Georgia Tech, USA

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 26 October 2010

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CIKM '10: International Conference on Information and Knowledge Management

October 26, 2010

ON, Toronto, Canada

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Cited By

Sun XMa LDu XFeng JDong K(2018)Deep Convolution Neural Networks for Drug-Drug Interaction Extraction2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM.2018.8621405(1662-1668)Online publication date: Dec-2018
https://doi.org/10.1109/BIBM.2018.8621405
Ibrahim HSaad AAbdo ASharaf Eldin A(2016)Mining association patterns of drug-interactions using post marketing FDA's spontaneous reporting dataJournal of Biomedical Informatics10.1016/j.jbi.2016.02.00960:C(294-308)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1016/j.jbi.2016.02.009
Yang HYang C(2014)Drug-Drug Interactions Detection from Online Heterogeneous Healthcare NetworksProceedings of the 2014 IEEE International Conference on Healthcare Informatics10.1109/ICHI.2014.9(7-16)Online publication date: 15-Sep-2014
https://dl.acm.org/doi/10.1109/ICHI.2014.9
Yang HYang C(2013)Harnessing Social Media for Drug-Drug Interactions DetectionProceedings of the 2013 IEEE International Conference on Healthcare Informatics10.1109/ICHI.2013.10(22-29)Online publication date: 9-Sep-2013
https://dl.acm.org/doi/10.1109/ICHI.2013.10
Segura-Bedmar IMartíNez PDe Pablo-SáNchez C(2011)Using a shallow linguistic kernel for drug-drug interaction extractionJournal of Biomedical Informatics10.1016/j.jbi.2011.04.00544:5(789-804)Online publication date: 1-Oct-2011
https://dl.acm.org/doi/10.1016/j.jbi.2011.04.005

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