An Evolving Ecosystem for Natural Language Processing in Department of Veterans Affairs-Reference-Cited by-同舟云学术

An Evolving Ecosystem for Natural Language Processing in Department of Veterans Affairs

Published:2017-01-03 Issue:2 Volume:41 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Garvin Jennifer H.,Kalsy Megha,Brandt Cynthia,Luther Stephen L.,Divita Guy,Coronado Gregory,Redd Doug,Christensen Carrie,Hill Brent,Kelly Natalie,Treitler Qing Zeng

Funder

Collaborative Research to Enhance and Advance Transformation and Excellence (CREATE)

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/article/10.1007/s10916-016-0681-4/fulltext.html

Reference28 articles.

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2. Murphy, S., and Wilcox, A., Mission and sustainability of informatics for integrating biology and the bedside (i2b2). Egems (Generating Evidence & Methods To Improve Patient Outcomes) 2(2), 2014.

3. Zeng, Q. T., Redd, D., and Divita, G., Characterizing clinical text and sublanguage: A case study of the VA clinical notes. J Health MedInform S3:001, 2011.

4. Collaboration between VINCI and CHIR. 2016. Hsrd.research.va.gov. http://www.hsrd.research.va.gov/for_researchers/vinci/chir.cfm . Accessed 28 April 2015.

5. VA Informatics and Computing Infrastructure (VINCI). 2009. Hsrd.research.va.gov. http://www.hsrd.research.va.gov/for_researchers/vinci/ . Accessed 1 June 2011.

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