Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data

Richard D. Boyce, Erica A. Voss, Vojtech Huser, Lee Evans, Christian Reich, Jon D. Duke, Nicholas P. Tatonetti, Tal Lorberbaum, Michel Dumontier, Manfred Hauben, Magnus Wallberg, Lili Peng, Sara Dempster, Yongqun He, Anthony G. Sena, Vassilis Koutkias, Pantelis Natsiavas, Patrick B. Ryan

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
JournalJournal of biomedical semantics
Volume8
DOIs
Publication statusPublished - 7 Mar 2017
Externally publishedYes

Keywords

  • Pharmacovigilance
  • Post-market drug safety
  • Clinical terminologies
  • Linked-data

Cite this

Boyce, R. D., Voss, E. A., Huser, V., Evans, L., Reich, C., Duke, J. D., Tatonetti, N. P., Lorberbaum, T., Dumontier, M., Hauben, M., Wallberg, M., Peng, L., Dempster, S., He, Y., Sena, A. G., Koutkias, V., Natsiavas, P., & Ryan, P. B. (2017). Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data. Journal of biomedical semantics, 8. https://doi.org/10.1186/s13326-017-0115-3