作者
Serkan Ayvaz, John Horn, Oktie Hassanzadeh, Qian Zhu, Johann Stan, Nicholas P Tatonetti, Santiago Vilar, Mathias Brochhausen, Matthias Samwald, Majid Rastegar-Mojarad, Michel Dumontier, Richard D Boyce
发表日期
2015/6/1
期刊
Journal of biomedical informatics
卷号
55
页码范围
206-217
出版商
Academic Press
简介
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 Bioinformatics/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.
An analysis of the overlap between and across the data …
引用总数
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