Literature DB >> 11825261

Normal forms for description logic expressions of clinical concepts in SNOMED RT.

K A Spackman1.   

Abstract

Modern clinical terminologies organize concepts into multi-hierarchy structures that are defined by logic-based expressions, enabling compositional representation of clinical statements and supporting more complete and consistent retrieval of clinical data. The Systematized Nomenclature of Medicine, Reference Terminology (SNOMED RT) gives each concept code a semantic definition stated in description logic. The process of development, testing and distribution of these definitions has highlighted the fact that a concept definition may take many different but logically equivalent forms, and has revealed a need for a set of normal forms for authoring, distribution, and other purposes. This paper describes the difference between a choice of syntax and a choice of normal form, and defines several different normal forms, including a short canonical form, a long canonical form, and a distribution normal form.

Mesh:

Year:  2001        PMID: 11825261      PMCID: PMC2243264     

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


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  5 in total
  11 in total

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Authors:  Kent A Spackman; Robert Dionne; Eric Mays; Jason Weis
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Authors:  Michael N Cantor; Yves A Lussier
Journal:  AMIA Annu Symp Proc       Date:  2003

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Authors:  Rainer Beck; Stefan Schulz
Journal:  AMIA Annu Symp Proc       Date:  2003

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Authors:  Kent A Spackman
Journal:  AMIA Annu Symp Proc       Date:  2005

5.  Comparing heterogeneous SNOMED CT coding of clinical research concepts by examining normalized expressions.

Authors:  James E Andrews; Timothy B Patrick; Rachel L Richesson; Hana Brown; Jeffrey P Krischer
Journal:  J Biomed Inform       Date:  2008-02-05       Impact factor: 6.317

6.  Auditing the semantic completeness of SNOMED CT using formal concept analysis.

Authors:  Guoqian Jiang; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

7.  Getting the foot out of the pelvis: modeling problems affecting use of SNOMED CT hierarchies in practical applications.

Authors:  Alan L Rector; Sam Brandt; Thomas Schneider
Journal:  J Am Med Inform Assoc       Date:  2011-04-21       Impact factor: 4.497

8.  Using Convolutional Neural Networks to Support Insertion of New Concepts into SNOMED CT.

Authors:  Hao Liu; James Geller; Michael Halper; Yehoshua Perl
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

9.  A model for evaluating interface terminologies.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

10.  Structural measures to track the evolution of SNOMED CT hierarchies.

Authors:  Duo Wei; Huanying Helen Gu; Yehoshua Perl; Michael Halper; Christopher Ochs; Gai Elhanan; Yan Chen
Journal:  J Biomed Inform       Date:  2015-08-07       Impact factor: 6.317

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