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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10027/53
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| Title: | ADAM: Another Database of Abbreviations in MEDLINE |
| Authors: | Zhou, Wei
Torvik, Vetle I.
Smalheiser, Neil R. |
| Issue Date: | 18-Sep-2006 |
| Publisher: | Bioinformatics Advance Access |
| Citation: | Bioinformatics 2006; xx: xxxx-xxxx. doi: 10.1093/bioinformatics/btl480 |
| Abstract: | Motivation: Abbreviations are an important type of terminology in
the biomedical domain. Although several groups have already created
databases of biomedical abbreviations, these are either not
public, or are not comprehensive, or focus exclusively on acronymtype
abbreviations. We have created another abbreviation database,
ADAM, which covers commonly used abbreviations and their definitions
(or long-forms) within MEDLINE titles and abstracts, including
both acronym and non-acronym abbreviations.
Results: A model of recognizing abbreviations and their long forms
from titles and abstracts of MEDLINE (2006 baseline) was employed.
After grouping morphological variants, 59,405 abbreviation/
long-form pairs were identified. ADAM shows high precision
(97.4%) and includes most of the frequently used abbreviations
contained in the UMLS Lexicon and the Stanford Abbreviation Database.
Conversely, one third of abbreviations in ADAM are novel
insofar as they are not included in either database. About 19% of the
novel abbreviations are non-acronym type and these cover at least 7
different types of short-form/long-form pairs.
Availability: A free, public query interface to ADAM is available at
http://arrowsmith.psych.uic.edu, and the entire database can be
downloaded as a text file.
Contact: neils@uic.edu |
| URI: | http://hdl.handle.net/10027/53 |
| Appears in Collections: | Publications - Arrowsmith
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Files in This Item:
| File |
Description |
Size | Format |
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| zhou_bioinformatics_2006[1].pdf | | 161Kb | Adobe PDF | View/Open |
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