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<title>Arrowsmith Project</title>
<link>http://hdl.handle.net/10027/31</link>
<description>Arrowsmith Project</description>
<pubDate>Sun, 19 May 2013 14:02:54 GMT</pubDate>
<dc:date>2013-05-19T14:02:54Z</dc:date>
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<title>ADAM: another database of abbreviations in MEDLINE</title>
<link>http://hdl.handle.net/10027/148</link>
<description>ADAM: another database of abbreviations in MEDLINE
Zhou, Wei; Torvik, Vetle I.; Smalheiser, Neil R.
Motivation: Abbreviations are an important type of terminology in&#13;
the biomedical domain. Although several groups have already created&#13;
databases of biomedical abbreviations, these are either not public, or&#13;
are not comprehensive, or focus exclusively on acronym-type abbreviations.&#13;
We have created another abbreviation database, ADAM,&#13;
which covers commonly used abbreviations and their definitions&#13;
(or long-forms) within MEDLINE titles and abstracts, including both&#13;
acronym and non-acronym abbreviations.&#13;
Results: A model of recognizing abbreviations and their long-forms&#13;
from titles and abstracts of MEDLINE (2006 baseline) was employed.&#13;
After grouping morphological variants, 59 405 abbreviation/long-form&#13;
pairs were identified. ADAM shows high precision (97.4%) and includes&#13;
most of the frequently used abbreviations contained in the Unified&#13;
Medical Language System (UMLS) Lexicon and the Stanford&#13;
Abbreviation Database. Conversely, one-third of abbreviations in&#13;
ADAM are novel insofar as they are not included in either database.&#13;
About 19% of the novel abbreviations are non-acronym-type and these&#13;
cover at least seven different types of short-form/long-form pairs.&#13;
Availability: A free, public query interface to ADAM is available at&#13;
http://arrowsmith.psych.uic.edu, and the entire database can be&#13;
downloaded as a text file.
</description>
<pubDate>Mon, 18 Sep 2006 05:00:00 GMT</pubDate>
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<dc:date>2006-09-18T05:00:00Z</dc:date>
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<title>Aiding Biomedical Researchers with Tools to Assist Discovery</title>
<link>http://hdl.handle.net/10027/89</link>
<description>Aiding Biomedical Researchers with Tools to Assist Discovery
Smalheiser, Neil R.
The Arrowsmith Project two node search is used for many daily information needs as an extension of PubMed searches. The two node search can now be conducted and analyzed in a matter of minutes, not hours or days, and it can be utilized by the general scientific public for a variety of information needs, including but NOT restricted to searching for and assessing hypotheses.
Presented at the AMIA (American Medical Informatics Assocation) Spring Congress 2006 "Informatics Across the Spectrum from Clinical Care to Biomedical Research." May 16-18, 2006, Pointe South Mountain Resort, Phoenix, AZ
</description>
<pubDate>Thu, 18 May 2006 05:00:00 GMT</pubDate>
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<dc:date>2006-05-18T05:00:00Z</dc:date>
</item>
<item>
<title>Author Name Disambiguation in Medline</title>
<link>http://hdl.handle.net/10027/81</link>
<description>Author Name Disambiguation in Medline
Torvik, Vetle I.; Smalheiser, Neil R.
Presented at Workshop for Scholarly Databases &amp; Data Integration, Indiana University, Bloomington, IN. August 31, 2006
</description>
<pubDate>Thu, 31 Aug 2006 05:00:00 GMT</pubDate>
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<dc:date>2006-08-31T05:00:00Z</dc:date>
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<title>Informatics and hypothesis-driven research</title>
<link>http://hdl.handle.net/10027/69</link>
<description>Informatics and hypothesis-driven research
Smalheiser, Neil R
Letter in the Correspondence section of EMBO.
</description>
<pubDate>Tue, 01 Jan 2002 06:00:00 GMT</pubDate>
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<dc:date>2002-01-01T06:00:00Z</dc:date>
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