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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Extracting semantic predications from Medline citations for pharmacogenomics
Caroline B Ahlers1, Marcelo Fiszman, Dina Demner-Fushman
1Lister Hill National Center for Biomedical Communications, National Library of Medicine Bethesda, Maryland 20894, USA.
Abstract:
We describe a natural language processing system (Enhanced SemRep) to identify core assertions on pharmacogenomics in Medline citations. Extracted information is represented as semantic predications covering a range of relations relevant to this domain. The specific relations addressed by the system provide greater precision than that achievable with methods that rely on entity co-occurrence. The development of Enhanced SemRep is based on the adaptation of an existing system and crucially depends on domain knowledge in the Unified Medical Language System. We provide a preliminary evaluation (55% recall and 73% precision) and discuss the potential of this system in assisting both clinical practice and scientific investigation.
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