Rewriting and suppressing UMLS terms for improved biomedical term identification
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* Corresponding author: Kristina M Hettne k.hettne@erasmusmc.nl
1 Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
2 Department of Health Risk Analysis and Toxicology, Maastricht University, Maastricht, The Netherlands
3 Collexis Holdings Inc, Columbia SC, USA
Journal of Biomedical Semantics 2010, 1:5 doi:10.1186/2041-1480-1-5
Published: 31 March 2010Additional files
Additional file 1:
The 50 most frequent and 100 random terms.
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