Extraction of potential adverse drug events from medical case reports

@inproceedings{Gurulingappa2012ExtractionOP,
  title={Extraction of potential adverse drug events from medical case reports},
  author={Harsha Gurulingappa and Abdul Mateen Rajput and Luca Toldo},
  booktitle={J. Biomedical Semantics},
  year={2012}
}
: The sheer amount of information about potential adverse drug events published in medical case reports pose major challenges for drug safety experts to perform timely monitoring. Efficient strategies for identification and extraction of information about potential adverse drug events from free-text resources are needed to support pharmacovigilance research and pharmaceutical decision making. Therefore, this work focusses on the adaptation of a machine learning-based system for the… CONTINUE READING
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Development of a Benchmark Corpus to Support the Automatic Extraction of Drug-related Adverse Effects fromMedical Case Reports

  • H Gurulingappa, A Mateen-Rajput, A Roberts, J Fluck, M Hofmann-Apitius, L Toldo
  • J Biomed Informatics
  • 2012
2 Excerpts

Impact of Automatic Detection of Adverse Events on Prediction of Drug Label Changes

  • L Toldo, H Gurulingappa, A Mateen-Rajput, J Kors, S Suri, Y Tayrouz
  • J Pharmacoepidemiology and Drug Saf
  • 2012
1 Excerpt

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