http://hdl.handle.net/10027/33 Formally published articles, chapters, books, etc. Wed, 19 Jun 2013 20:51:20 GMT 2013-06-19T20:51:20Z http://dspace-prod-lib.cc.uic.edu:80/bitstream/id/62/arrowsmith-final-top.gif http://hdl.handle.net/10027/33 http://hdl.handle.net/10027/148 ADAM: another database of abbreviations in MEDLINE Zhou, Wei; Torvik, Vetle I.; Smalheiser, Neil R. 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 acronym-type 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 Unified Medical Language System (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 seven 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. Mon, 18 Sep 2006 05:00:00 GMT http://hdl.handle.net/10027/148 2006-09-18T05:00:00Z http://hdl.handle.net/10027/69 Informatics and hypothesis-driven research Smalheiser, Neil R Letter in the Correspondence section of EMBO. Tue, 01 Jan 2002 06:00:00 GMT http://hdl.handle.net/10027/69 2002-01-01T06:00:00Z http://hdl.handle.net/10027/65 Collaborative development of the Arrowsmith two node search interface designed for laboratory investigators Smalheiser, Neil R; Torvik, Vetle I; Bischoff-Grethe, Amanda; Burhans, Lauren B; Gabriel, Michael; Homayouni, Ramin; Kashef, Alireza; Martone, Maryann E; Perkins, Guy A; Price, Diana L; Talk, Andrew C; West, Ruth Arrowsmith is a unique computer-assisted strategy designed to assist investigators in detecting biologically-relevant connections between two disparate sets of articles in Medline. This paper describes how an inter-institutional consortium of neuroscientists used the UIC Arrowsmith web interface http://arrowsmith.psych.uic.edu in their daily work and guided the development, refinement and expansion of the system into a suite of tools intended for use by the wider scientific community. Mon, 03 Jul 2006 05:00:00 GMT http://hdl.handle.net/10027/65 2006-07-03T05:00:00Z http://hdl.handle.net/10027/53 ADAM: Another Database of Abbreviations in MEDLINE Zhou, Wei; Torvik, Vetle I.; Smalheiser, Neil R. 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 Mon, 18 Sep 2006 05:00:00 GMT http://hdl.handle.net/10027/53 2006-09-18T05:00:00Z