an NLP platform for clinicians and researchers

Shervin Malmasi, Nicolae L. Sandor, Naoshi Hosomura, Matt Goldberg, Stephen Skentzos, Alexander Turchin*

*Corresponding author for this work

Research output: Contribution to journalEditorial

8 Citations (Scopus)
5 Downloads (Pure)


Information Extraction methods can help discover critical knowledge buried in the vast repositories of unstructured clinical data. However, these methods are underutilized in clinical research, potentially due to the absence of free software geared towards clinicians with little technical expertise. The skills required for developing/using such software constitute a major barrier for medical researchers wishing to employ these methods. To address this, we have developed Canary, a free and open-source solution designed for users without natural language processing (NLP) or software engineering experience. It was designed to be fast and work out of the box via a user-friendly graphical interface.

Original languageEnglish
Pages (from-to)447-453
Number of pages7
JournalApplied Clinical Informatics
Issue number2
Publication statusPublished - Apr 2017
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2017. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • Information extraction
  • clinical informatics
  • natural language processing

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