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A chronological pharmacovigilance network analytics approach for predicting adverse drug events
OBJECTIVES: This study extends prior research by combining a chronological pharmacovigilance network approach with machine-learning (ML) techniques to predict adverse drug events (ADEs) based on the drugs’ similarities in terms of the proteins they target in the human body. The focus of this researc...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7646912/ https://ncbi.nlm.nih.gov/pubmed/30085102 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocy097 |
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