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Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study
BACKGROUND: Drug-drug interactions (DDIs) are a major contributing factor for unexpected adverse drug events (ADEs). However, few of knowledge resources cover the severity information of ADEs that is critical for prioritizing the medical need. The objective of the study is to develop and evaluate a...
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| Veröffentlicht in: | BioData Min |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4379609/ https://ncbi.nlm.nih.gov/pubmed/25829948 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-015-0044-6 |
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