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Total: 10 results found.

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1. The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives
(Publication)
eTRANSAFE is a research project funded within the Innovative Medicines Initiative (IMI), which aims at developing integrated databases and computational tools (the eTRANSAFE ToxHub) that support the translational ...
Created on 27 March 2021
2. Identifying disease trajectories with predicate information from a knowledge graph
(Publication)
Created on 11 December 2020
3. Using predicate information from a knowledge graph to identify disease trajectories
(Publication)
Created on 11 December 2020
4. Drug prioritization using the semantic properties of a knowledge graph
(Publication)
... integrated within a knowledge graph, which thereby comprehensively describes known relationships between biomedical concepts, such as drugs, diseases, genes, etc. Our work uses the semantic information ...
Created on 11 December 2020
5. Using predicate and provenance information from a knowledge graph for drug efficacy screening
(Publication)
© 2018 The Author(s). Background: Biomedical knowledge graphs have become important tools to computationally analyse the comprehensive body of biomedical knowledge. They represent knowledge as subject-predicate-object ...
Created on 11 December 2020
6. Automated extraction of potential migraine biomarkers using a semantic graph
(Publication)
... be used to automatically identify potential migraine biomarkers. Method We used a knowledge graph containing more than 3.5 million biomedical concepts and 68.4 million relationships. Biochemical compound ...
Created on 11 December 2020
7. Extraction of chemical-induced diseases using prior knowledge and textual information
(Publication)
Created on 16 November 2016
8. RELigator: Chemical-disease relation extraction using prior knowledge and textual information
(Publication)
The Erasmus MC team participated in the chemical-disease relation (CDR) task in the BioCreative V challenge. The CDR task consists of two subtask: automatic disease named entity recognition and normalization ...
Created on 16 November 2016
9. 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
10. Knowledge-based extraction of adverse drug events from biomedical text
(Publication)
Created on 11 December 2020
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