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Canary: An NLP Platform for Clinicians and Researchers

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....

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Detalles Bibliográficos
Autores principales: Malmasi, Shervin, Sandor, Nicolae L., Hosomura, Naoshi, Goldberg, Matt, Skentzos, Stephen, Turchin, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Schattauer GmbH 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6241741/
https://www.ncbi.nlm.nih.gov/pubmed/28466087
http://dx.doi.org/10.4338/ACI-2017-01-IE-0018
Descripción
Sumario: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