Published April 8, 2017
| Version v1.0.0
Pictorial Work
Open
Clusters of CTS
Description
In a preliminary assessment of the CTS literature, natural language processing techniques were used to create a term co-occurrence network based on publications citing CTSA U54 awards through 2016. Relevant and non-relevant terms were distinguished algorithmically to yield a list of over 2K most-frequently occurring terms.
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Clusters of CTS_2017-04-09.png
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Additional details
Identifiers
- ARK
- ark:/c8131/g3vg8f
Funding
- Northwestern University Clinical and Translational Science Institute (NUCATS) UL1TR001422
- National Center for Advancing Translational Sciences (NCATS)
Dates
- Created
-
2017-04-08When the item was originally created.