Canary: An NLP Platform for Clinicians and Researchers

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

doi:10.4338/ACI-2017-01-IE-0018

Applied Clinical Informatics, Table of Contents

CC BY-NC-ND 4.0 · Appl Clin Inform 2017; 08(02): 447-453
DOI: 10.4338/ACI-2017-01-IE-0018

Invited Editorial

Schattauer GmbH

Canary: An NLP Platform for Clinicians and Researchers

Shervin Malmasi

¹Brigham and Women’s Hospital, Boston, MA

,

Nicolae L. Sandor

²Boston University, Boston, MA

,

Naoshi Hosomura

¹Brigham and Women’s Hospital, Boston, MA

,

Matt Goldberg

³Harvard University, Boston, MA

,

Stephen Skentzos

⁴Kiip, Inc., San Francisco, CA

,

Alexander Turchin

¹Brigham and Women’s Hospital, Boston, MA

› Author Affiliations

Abstract

Summary

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.

Citation: Malmasi S, Sandor NL, Hosomura N, Goldberg M, Skentzos S, Turchin A. Canary: an NLP platform for clinicians and researchers. Appl Clin Inform 2017; 8: 447–453 https://doi.org/10.4338/ACI-2017-01-IE-0018

Keywords

Information extraction - clinical informatics - natural language processing

Full Text

References

References
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