- 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)
- © 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
- 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