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1.
Drug prioritization using the semantic properties of a knowledge graph
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(Publication)
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Compounds that are candidates for drug repurposing can be ranked by leveraging knowledge available in the biomedical literature and databases. This knowledge, spread across a variety of sources, can be ...
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Created on 11 December 2020
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2.
Using predicate and provenance information from a knowledge graph for drug efficacy screening
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(Publication)
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... scientific publications or database entries). Knowledge graphs have been used to classify drug-disease pairs for drug efficacy screening, but existing computational methods have often ignored predicate ...
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Created on 11 December 2020
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3.
CodeMapper: semiautomatic coding of case definitions. A contribution from the ADVANCE project
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(Publication)
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© 2017 The Authors. Pharmacoepidemiology & Drug Safety Published by John Wiley & Sons Ltd. Background: Assessment of drug and vaccine effects by combining information from different healthcare databases ...
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Created on 11 December 2020
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4.
The CHEMDNER corpus of chemicals and drugs and its annotation principles
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(Publication)
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The automatic extraction of chemical information from text requires the recognition of chemical entity mentions as one of its key steps. When developing supervised named entity recognition (NER) systems, ...
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Created on 16 November 2016
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5.
A} multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC
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(Publication)
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Materials and methods We selected text units from different parallel corpora (Medline abstract titles, drug labels, biomedical patent claims) in English, French, German, Spanish, and Dutch. Three annotators ...
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Created on 16 November 2016
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6.
Knowledge-based extraction of adverse drug events from biomedical text
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(Publication)
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Created on 11 December 2020
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7.
A novel feature-based approach to extract drug-drug interactions from biomedical text
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(Publication)
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Created on 11 December 2020
