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1.
The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives
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(Publication)
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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 ...
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Created on 27 March 2021
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2.
Identifying disease trajectories with predicate information from a knowledge graph
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(Publication)
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Created on 11 December 2020
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3.
Using predicate information from a knowledge graph to identify disease trajectories
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(Publication)
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Created on 11 December 2020
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4.
Drug prioritization using the semantic properties of a knowledge graph
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(Publication)
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... 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 ...
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Created on 11 December 2020
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5.
Using predicate and provenance information from a knowledge graph for drug efficacy screening
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(Publication)
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© 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 ...
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Created on 11 December 2020
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6.
Automated extraction of potential migraine biomarkers using a semantic graph
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(Publication)
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... 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 ...
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Created on 11 December 2020
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7.
Extraction of chemical-induced diseases using prior knowledge and textual information
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(Publication)
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Created on 16 November 2016
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8.
RELigator: Chemical-disease relation extraction using prior knowledge and textual information
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(Publication)
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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 ...
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Created on 16 November 2016
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9.
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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10.
Knowledge-based extraction of adverse drug events from biomedical text
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(Publication)
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Created on 11 December 2020
