Monitoring Potential Drug Interactions and Reactions via Network Analysis of Instagram User Timelines

@article{Correia2016MonitoringPD,
  title={Monitoring Potential Drug Interactions and Reactions via Network Analysis of Instagram User Timelines},
  author={Rion Brattig Correia and Lang Li and Luis Mateus Rocha},
  journal={Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing},
  year={2016},
  volume={21},
  pages={
          492-503
        }
}
Much recent research aims to identify evidence for Drug-Drug Interactions (DDI) and Adverse Drug reactions (ADR) from the biomedical scientific literature. In addition to this "Bibliome", the universe of social media provides a very promising source of large-scale data that can help identify DDI and ADR in ways that have not been hitherto possible. Given the large number of users, analysis of social media data may be useful to identify under-reported, population-level pathology associated with… Expand
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