Literature DB >> 11079850

Using UMLS semantics for classification purposes.

O Bodenreider1.   

Abstract

The Unified Medical Language System (UMLS) contains semantic information about terms from various sources; each concept can be understood and located by its relationships to other concepts. We describe a method in which the semantic relationships between UMLS concepts are exploited for the purpose of classification. This method combines three existing components: 1) Mapping terms to UMLS concepts; 2) Restricting UMLS concepts to MeSH; and 3) Mapping MeSH terms to disease categories. When applied to the automatic classification of condition terms into broad disease categories in the Clinical Trials database, this method assigned relevant categories to 92% of the 1823 condition terms encountered. 135 (7%) failed to be classified and 14 (.77%) were misclassified. The limits of this method are discussed, as well as the reuse of existing components, and the tuning required to achieve automatic classification.

Mesh:

Year:  2000        PMID: 11079850      PMCID: PMC2243905     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  6 in total

1.  Beyond synonymy: exploiting the UMLS semantics in mapping vocabularies.

Authors:  O Bodenreider; S J Nelson; W T Hole; H F Chang
Journal:  Proc AMIA Symp       Date:  1998

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Authors:  A R Aronson
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

3.  Methodology for using the UMLS as a background knowledge for the description of surgical procedures.

Authors:  A Burgun; G Botti; O Bodenreider; D Delamarre; J M Levêque; B Lukacs; D Mayeux; M Bremond; F Kohler; M Fieschi; P Le Beux
Journal:  Int J Biomed Comput       Date:  1996-12

4.  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

5.  Lexical methods for managing variation in biomedical terminologies.

Authors:  A T McCray; S Srinivasan; A C Browne
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

6.  Auditing the Unified Medical Language System with semantic methods.

Authors:  J J Cimino
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

  6 in total
  9 in total

1.  Methods for exploring the semantics of the relationships between co-occurring UMLS concepts.

Authors:  A Burgun; O Bodenreider
Journal:  Stud Health Technol Inform       Date:  2001

2.  Auditing hierarchical cycles to locate other inconsistencies in the UMLS.

Authors:  Michael Halper; C Paul Morrey; Yan Chen; Gai Elhanan; George Hripcsak; Yehoshua Perl
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

3.  Comparison of UMLS terminologies to identify risk of heart disease using clinical notes.

Authors:  Chaitanya Shivade; Pranav Malewadkar; Eric Fosler-Lussier; Albert M Lai
Journal:  J Biomed Inform       Date:  2015-09-12       Impact factor: 6.317

4.  Semantic approach for text understanding of chief complaints data.

Authors:  Parsa Mirhaji; Sean Byrne; Narendra Kunapareddy; S Ward Casscells
Journal:  AMIA Annu Symp Proc       Date:  2006

5.  A knowledge-anchored integrative image search and retrieval system.

Authors:  Selnur Erdal; Umit V Catalyurek; Philip R O Payne; Joel Saltz; Jyoti Kamal; Metin N Gurcan
Journal:  J Digit Imaging       Date:  2007-11-27       Impact factor: 4.056

6.  Quantifying multi-ethnic representation in genetic studies of high mortality diseases.

Authors:  Rong Chen; Joel T Dudley; David Ruau; Atul J Butte
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2012-03-19

7.  Using noun phrases for navigating biomedical literature on Pubmed: how many updates are we losing track of?

Authors:  Devabhaktuni Srikrishna; Marc A Coram
Journal:  PLoS One       Date:  2011-09-14       Impact factor: 3.240

8.  How are the different specialties represented in the major journals in general medicine?

Authors:  Jean-Francois Gehanno; Joel Ladner; Laetitia Rollin; Badisse Dahamna; Stefan J Darmoni
Journal:  BMC Med Inform Decis Mak       Date:  2011-01-21       Impact factor: 2.796

9.  A MEDLINE categorization algorithm.

Authors:  Stefan J Darmoni; Aurelie Névéol; Jean-Marie Renard; Jean-Francois Gehanno; Lina F Soualmia; Badisse Dahamna; Benoit Thirion
Journal:  BMC Med Inform Decis Mak       Date:  2006-02-07       Impact factor: 2.796

  9 in total

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