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

Canary: 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 journal › Editorial › peer-review

26 Citations (Scopus)

56 Downloads (Pure)

Abstract

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 language	English
Pages (from-to)	447-453
Number of pages	7
Journal	Applied Clinical Informatics
Volume	8
Issue number	2
DOIs	https://doi.org/10.4338/ACI-2017-01-IE-0018
Publication status	Published - Apr 2017
Externally published	Yes

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.

Keywords

Information extraction
clinical informatics
natural language processing

Access to Document

10.4338/ACI-2017-01-IE-0018Licence: CC BY-NC-ND

Publisher version (open access)Final published version, 441 KBLicence: CC BY-NC-ND

Cite this

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AU - Turchin, Alexander

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Canary: an NLP platform for clinicians and researchers

Abstract

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Keywords

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