Utilizing different word representation methods for twitter data in adverse drug reactions extraction

@article{Lin2015UtilizingDW,
  title={Utilizing different word representation methods for twitter data in adverse drug reactions extraction},
  author={Wei-San Lin and Hong-Jie Dai and Jitendra Jonnagaddala and Nai-Wun Chang and Toni Rose Jue and Usman Iqbal and Joni Yu-Hsuan Shao and I-Jen Chiang and Yu-Chuan Li},
  journal={2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI)},
  year={2015},
  pages={260-265}
}
With the advancement of technology and development of social media, patients discuss medications and other related information including adverse drug reactions (ADRs) with their friends, family or other patients. Although, there are various pros and cons of using social media for automatic ADR monitoring, information on social media provided by patients about drugs are widely considered a valuable resource for post-marketing drug surveillance. In this study, we developed a named entity… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 21 REFERENCES

Adverse Drug Reaction Identification and Extraction in Social Media : A Scoping Review

R. Abdellaoui J. Lardon, N. Texier
  • 2011

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