Literature DB >> 14681409

The Unified Medical Language System (UMLS): integrating biomedical terminology.

Olivier Bodenreider1.   

Abstract

The Unified Medical Language System (http://umlsks.nlm.nih.gov) is a repository of biomedical vocabularies developed by the US National Library of Medicine. The UMLS integrates over 2 million names for some 900,000 concepts from more than 60 families of biomedical vocabularies, as well as 12 million relations among these concepts. Vocabularies integrated in the UMLS Metathesaurus include the NCBI taxonomy, Gene Ontology, the Medical Subject Headings (MeSH), OMIM and the Digital Anatomist Symbolic Knowledge Base. UMLS concepts are not only inter-related, but may also be linked to external resources such as GenBank. In addition to data, the UMLS includes tools for customizing the Metathesaurus (MetamorphoSys), for generating lexical variants of concept names (lvg) and for extracting UMLS concepts from text (MetaMap). The UMLS knowledge sources are updated quarterly. All vocabularies are available at no fee for research purposes within an institution, but UMLS users are required to sign a license agreement. The UMLS knowledge sources are distributed on CD-ROM and by FTP.

Mesh:

Year:  2004        PMID: 14681409      PMCID: PMC308795          DOI: 10.1093/nar/gkh061

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  10 in total

1.  RefSeq and LocusLink: NCBI gene-centered resources.

Authors:  K D Pruitt; D R Maglott
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

3.  TAMBIS: transparent access to multiple bioinformatics information sources.

Authors:  R Stevens; P Baker; S Bechhofer; G Ng; A Jacoby; N W Paton; C A Goble; A Brass
Journal:  Bioinformatics       Date:  2000-02       Impact factor: 6.937

4.  GenBank.

Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; Barbara A Rapp; David L Wheeler
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

5.  Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.

Authors:  A R Aronson
Journal:  Proc AMIA Symp       Date:  2001

6.  PubMed: bridging the information gap.

Authors:  J McEntyre; D Lipman
Journal:  CMAJ       Date:  2001-05-01       Impact factor: 8.262

7.  The representation of meaning in the UMLS.

Authors:  A T McCray; S J Nelson
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

8.  The Unified Medical Language System.

Authors:  D A Lindberg; B L Humphreys; A T McCray
Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

Review 9.  Neurofibromatosis 2.

Authors:  Michael E Baser; D Gareth R Evans; David H Gutmann
Journal:  Curr Opin Neurol       Date:  2003-02       Impact factor: 5.710

10.  MGD: the Mouse Genome Database.

Authors:  Judith A Blake; Joel E Richardson; Carol J Bult; Jim A Kadin; Janan T Eppig
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

  10 in total
  956 in total

1.  An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model version 5.0.

Authors:  Shreya Chakrabarti; Anando Sen; Vojtech Huser; Gregory W Hruby; Alexander Rusanov; David J Albers; Chunhua Weng
Journal:  J Healthc Inform Res       Date:  2017-06-08

2.  Toward patient-tailored summarization of lung cancer literature.

Authors:  Jean I Garcia-Gathright; Nicholas J Matiasz; Edward B Garon; Denise R Aberle; Ricky K Taira; Alex A T Bui
Journal:  IEEE EMBS Int Conf Biomed Health Inform       Date:  2016-04-21

3.  Using Closure Tables to Enable Cross-Querying of Ontologies in Database-Driven Applications.

Authors:  Daniel R Harris; Darren W Henderson; Jeffery C Talbert
Journal:  IEEE EMBS Int Conf Biomed Health Inform       Date:  2017-04-13

4.  Identifying natural health product and dietary supplement information within adverse event reporting systems.

Authors:  Vivekanand Sharma; Indra Neil Sarkar
Journal:  Pac Symp Biocomput       Date:  2018

Review 5.  Data-driven methods to discover molecular determinants of serious adverse drug events.

Authors:  A P Chiang; A J Butte
Journal:  Clin Pharmacol Ther       Date:  2009-01-28       Impact factor: 6.875

6.  Integrated querying and version control of context-specific biological networks.

Authors:  Tyler Cowman; Mustafa Coşkun; Ananth Grama; Mehmet Koyutürk
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

7.  Comparison of machine learning classifiers for influenza detection from emergency department free-text reports.

Authors:  Arturo López Pineda; Ye Ye; Shyam Visweswaran; Gregory F Cooper; Michael M Wagner; Fuchiang Rich Tsui
Journal:  J Biomed Inform       Date:  2015-09-16       Impact factor: 6.317

Review 8.  Development of an informatics infrastructure for data exchange of biomolecular simulations: Architecture, data models and ontology.

Authors:  J C Thibault; D R Roe; K Eilbeck; T E Cheatham; J C Facelli
Journal:  SAR QSAR Environ Res       Date:  2015-09-21       Impact factor: 3.000

9.  Beegle: from literature mining to disease-gene discovery.

Authors:  Sarah ElShal; Léon-Charles Tranchevent; Alejandro Sifrim; Amin Ardeshirdavani; Jesse Davis; Yves Moreau
Journal:  Nucleic Acids Res       Date:  2015-09-17       Impact factor: 16.971

Review 10.  Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).

Authors:  Abhyuday Jagannatha; Feifan Liu; Weisong Liu; Hong Yu
Journal:  Drug Saf       Date:  2019-01       Impact factor: 5.606

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