ADAM: Another database of abbreviations in MEDLINE

Wei Zhou, Vetle I. Torvik, Neil R. Smalheiser

Research output: Contribution to journalArticle

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 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.

Original languageEnglish (US)
Pages (from-to)2813-2818
Number of pages6
JournalBioinformatics
Volume22
Issue number22
DOIs
StatePublished - Nov 15 2006
Externally publishedYes

Fingerprint

Abbreviation
MEDLINE
Databases
Unified Medical Language System
Terminology
Acronym
Cover
Grouping
Baseline

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Cite this

ADAM : Another database of abbreviations in MEDLINE. / Zhou, Wei; Torvik, Vetle I.; Smalheiser, Neil R.

In: Bioinformatics, Vol. 22, No. 22, 15.11.2006, p. 2813-2818.

Research output: Contribution to journalArticle

Zhou, Wei ; Torvik, Vetle I. ; Smalheiser, Neil R. / ADAM : Another database of abbreviations in MEDLINE. In: Bioinformatics. 2006 ; Vol. 22, No. 22. pp. 2813-2818.
@article{23ce9d6e8713454d9e7a2f4e5a2f1f94,
title = "ADAM: Another database of abbreviations in MEDLINE",
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 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.",
author = "Wei Zhou and Torvik, {Vetle I.} and Smalheiser, {Neil R.}",
year = "2006",
month = "11",
day = "15",
doi = "10.1093/bioinformatics/btl480",
language = "English (US)",
volume = "22",
pages = "2813--2818",
journal = "Bioinformatics",
issn = "1367-4803",
publisher = "Oxford University Press",
number = "22",

}

TY - JOUR

T1 - ADAM

T2 - Another database of abbreviations in MEDLINE

AU - Zhou, Wei

AU - Torvik, Vetle I.

AU - Smalheiser, Neil R.

PY - 2006/11/15

Y1 - 2006/11/15

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33750976972&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33750976972&partnerID=8YFLogxK

U2 - 10.1093/bioinformatics/btl480

DO - 10.1093/bioinformatics/btl480

M3 - Article

C2 - 16982707

AN - SCOPUS:33750976972

VL - 22

SP - 2813

EP - 2818

JO - Bioinformatics

JF - Bioinformatics

SN - 1367-4803

IS - 22

ER -