Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug-drug interaction extraction and classification

@article{Abacha2015TextMF,
  title={Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug-drug interaction extraction and classification},
  author={Asma Ben Abacha and Md. Faisal Mahbub Chowdhury and Aikaterini Karanasiou and Yassine Mrabet and Alberto Lavelli and Pierre Zweigenbaum},
  journal={Journal of biomedical informatics},
  year={2015},
  volume={58},
  pages={122-132}
}
Pharmacovigilance (PV) is defined by the World Health Organization as the science and activities related to the detection, assessment, understanding and prevention of adverse effects or any other drug-related problem. An essential aspect in PV is to acquire knowledge about Drug-Drug Interactions (DDIs). The shared tasks on DDI-Extraction organized in 2011 and 2013 have pointed out the importance of this issue and provided benchmarks for: Drug Name Recognition, DDI extraction and DDI… CONTINUE READING
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