首页|Toward a complete dataset of drug-drug interaction information from publicly available sources

Toward a complete dataset of drug-drug interaction information from publicly available sources

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  • NSTL
  • Elsevier
Although potential drug drug interactions (PDDIs) are a significant source of preventable drug-related harm, there is currently no single complete source of PDDI information. In the current study, all publically available sources of PDDI information that could be identified using a comprehensive and broad search were combined into a single dataset. The combined dataset merged fourteen different sources including 5 clinically-oriented information sources, 4 Natural Language Processing (NLP) Corpora, and 5 Bioinfor matics/Pharmacovigilance information sources. As a comprehensive PDDI source, the merged dataset might benefit the pharmacovigilance text mining community by making it possible to compare the representativeness of NLP corpora for PDDI text extraction tasks, and specifying elements that can be useful for future PDDI extraction purposes.

Drug-drug interactionRecord linkageNatural language processingPharmacovigilance

Dumontier, Michel、Boyce, Richard D.、Ayvaz, Serkan、Horn, John、Hassanzadeh, Oktie、Zhu, Qian、Stan, Johann、Tatonetti, Nicholas P.、Vilar, Santiago、Brochhausen, Mathias、Samwald, Matthias、Rastegar-Mojarad, Majid

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Stanford Ctr Biomed Informat Res, Stanford, CA 94305 USA

Dept Biomed Informat, Pittsburgh, PA 15206 USA

Kent State Univ, Dept Comp Sci, Kent, OH 44242 USA

Univ Washington, Sch Pharm, Dept Pharm, Seattle, WA 98195 USA

IBM Corp, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA

Univ Maryland Baltimore Cty, Dept Informat Syst, Baltimore, MD 21250 USA

Natl Lib Med, Lister Hill Natl Ctr Biomed Commun, Bethesda, MD 20894 USA

Columbia Univ, Dept Biomed Informat, New York, NY 10032 USA

Univ Arkansas Med Sci, Div Biomed Informat, Little Rock, AR 72205 USA

Med Univ Vienna, Ctr Med Stat Informat & Intelligent Syst, Sect Med Expert & Knowledge Based Syst

Mayo Clin, Biomed Stat & Informat, Rochester, MN 55905 USA

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2015

10.1016/j.jbi.2015.04.006

Journal of biomedical informatics.

Journal of biomedical informatics.

ISSN：1532-0464
年,卷(期)：2015.55
  • 31
  • 44