DDIExtractor: A Web-Based Java Tool for Extracting Drug-Drug Interactions from Biomedical Texts

  • Daniel Sánchez-Cisneros
  • Isabel Segura-Bedmar
  • Paloma Martínez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6716)

Abstract

A drug-drug interaction (DDIs) occurs when one drug influences the level or activity of another drug. The detection of DDIs is an important research area in patient safety since these interactions can become very dangerous and increase health care costs. Although there are several databases and web tools providing information on DDIs to patients and health-care professionals, these resources are not comprehensive because many DDIs are only reported in the biomedical literature. This paper presents the first tool for detecting drug-drug interactions from biomedical texts called DDIExtractor. The tool allows users to search by keywords in the Medline 2010 baseline database and then detect drugs and DDIs in any retrieved document.

Keywords

Drug-Drug Interactions Biomedical Information Extraction 

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References

  1. 1.
    Hoffmann, R., Valencia, A.: Implementing the iHOP concept for navigation of biomedical literature. Bioinformatics 21(suppl. 2) (2005)Google Scholar
  2. 2.
    Pafilis, E., O’Donoghue, S., Jensen, L., Horn, H., Kuhn, M.: Reflect: augmented browsing for the life scientist. Nature Biotechnology 27(6), 508–510 (2009)CrossRefGoogle Scholar
  3. 3.
    Segura-Bedmar, I., Martínez, P., de Pablo-Sánchez, C.: Using a shallow linguistic kernel for drug-drug interaction extraction. Journal of Biomedical Informatics (2011) (accepted)Google Scholar
  4. 4.
    Segura-Bedmar, I.: Application of information extraction techniques to pharmacological domain: extracting drug-drug interactions. PhD thesis, Universidad Carlos III de Madrid, Leganés, Madrid, Spain (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Daniel Sánchez-Cisneros
    • 1
  • Isabel Segura-Bedmar
    • 1
  • Paloma Martínez
    • 1
  1. 1.Computer Science DepartmentUniversity Carlos III of MadridLeganésSpain

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