Journal
DRUG DISCOVERY TODAY
Volume 13, Issue 17-18, Pages 816-823Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.drudis.2008.06.001
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Funding
- Spanish research projects [FIT-350300-2007-75]
- BRAVO: Advanced Multimodal and Multilingual Question Answering [TIN2007-67407-C03-01]
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This article presents a system for drug name recognition and classification in biomedical texts. The system combines information obtained by the Unified Medical Language System (UMLS) MetaMap Transfer (MMTx) program and nomenclature rules recommended by the World Health Organization (WHO) International Nonproprietary Names (INNS) Program to identify and classify pharmaceutical substances. Moreover, the system is able to detect possible candidates for drug names that have not been detected by MMTx program by applying these rules, achieving, in this way, a broader coverage. This work is the first step in a method for automatic detection of drug interactions from biomedical texts, a specific type of adverse drug event of special interest in patient safety.
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