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Total: 7 results found.

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1. Drug prioritization using the semantic properties of a knowledge graph
(Publication)
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 ...
Created on 11 December 2020
2. Using predicate and provenance information from a knowledge graph for drug efficacy screening
(Publication)
... 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 ...
Created on 11 December 2020
3. CodeMapper: semiautomatic coding of case definitions. A contribution from the ADVANCE project
(Publication)
© 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 ...
Created on 11 December 2020
4. The CHEMDNER corpus of chemicals and drugs and its annotation principles
(Publication)
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, ...
Created on 16 November 2016
5. A} multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC
(Publication)
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 ...
Created on 16 November 2016
6. Knowledge-based extraction of adverse drug events from biomedical text
(Publication)
Created on 11 December 2020
7. A novel feature-based approach to extract drug-drug interactions from biomedical text
(Publication)
Created on 11 December 2020
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