Details about the Canary software can be found in the following publications.

  • S. Malmasi, N. L. Sandor, N. Hosomura, M. Goldberg, S. Skentzos and A. Turchin (2017) Canary: An NLP Platform for Clinicians and Researchers. Applied Clinical Informatics. DOI: 10.4338/ACI-2017-01-IE-0018  [PDF]

Please cite the above paper in publications referencing Canary

Research Publications using Canary

  • Shervin Malmasi, Wendong Ge, Naoshi Hosomura and Alexander Turchin. Comparing information extraction techniques for low-prevalence concepts: the case of insulin rejection by patients. Journal of Biomedical Informatics, 2019. DOI:
  • Malmasi, Shervin, Naoshi Hosomura, Lee-Shing Chang, C. Justin Brown, Stephen Skentzos, and Alexander Turchin. Extracting Healthcare Quality Information from Unstructured Data. AMIA Annual Symposium Proceedings, vol. 2017, p. 1243. American Medical Informatics Association, 2017. [Link] [PDF]
  • N. Hosomura, S. Malmasi, D. Timerman, V.J. Lei, H. Zhang, L. Chang, A. Turchin. Decline of insulin therapy and delays in insulin initiation in people with uncontrolled diabetes mellitus. Diabetic Medicine, 2017; DOI: 10.1111/dme.13454
  • Zhang H, Plutzky J, Shubina M, Turchin A. Continued Statin Prescriptions After Adverse Reactions and Patient Outcomes: A Cohort Study. Ann Intern Med. [Epub ahead of print 25 July 2017] doi: 10.7326/M16-0838 [Link]
  • Zhang, H., Plutzky, J., Skentzos, S., Morrison, F., Mar, P., Shubina, M., & Turchin, A. (2013). Discontinuation of statins in routine care settings. Annals of Internal Medicine, 158(7), 526–534. [PDF]
  • Skentzos, S., Shubina, M., Plutzky, J., & Turchin, A. (2011). Structured vs. Unstructured: Factors Affecting Adverse Drug Reaction Documentation in an EMR Repository. AMIA Annual Symposium Proceedings, 2011, 1270–1279. [PDF]