Literature DB >> 7949908

Formal properties of the Metathesaurus.

M S Tuttle1, N E Olson, K E Campbell, D D Sherertz, S J Nelson, W G Cole.   

Abstract

The Metathesaurus is a machine-created, human edited and enhanced synthesis of authoritative biomedical terminologies. Its formal properties permit it to be a) exploited by computers, and b) modified and enhanced without compromising that usage. If further constraints were imposed on the existence and identity of Metathesaurus relationships, i.e., if every Metathesaurus concept had a "genus" and a "differentia," then the Metathesaurus could be converted into an "Aristotelian Hierarchy." In this sense, a genus is a concept that classifies another concept, and a differentia is a concept that distinguishes the classified concept from all other concepts in the same class. Since, in principle, these constraints would make the Metathesaurus easier to leverage and maintain computationally, it is interesting to ask to what degree the maintenance and enhancement procedures now in place are producing a Metathesaurus that is also an "Aristotelian Hierarchy." Given a liberal interpretation of the current Metathesaurus schema, the proportion of the Metathesaurus that is "Aristotelian" in each annual version is increasing in spite of dramatic concurrent increases in the number of Metathesaurus concepts. Without formality there is no modifiability nor scalability. [1] We need formal methods and computer-based tools that can help us with the task [of controlled medical vocabulary construction]. We need research in which controlled vocabulary development is the focus rather than a stepping stone for work on other theories and applications. [2]

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Year:  1994        PMID: 7949908      PMCID: PMC2247859     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  3 in total

1.  Adding your terms and relationships to the UMLS Metathesaurus.

Authors:  M S Tuttle; D D Sherertz; M S Erlbaum; W D Sperzel; L F Fuller; N E Olson; S J Nelson; J J Cimino; C G Chute
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

2.  Controlled medical vocabulary construction: methods from the Canon Group.

Authors:  J J Cimino
Journal:  J Am Med Inform Assoc       Date:  1994 May-Jun       Impact factor: 4.497

3.  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

  3 in total
  8 in total

1.  Exploring the UMLS: a rough sets based theoretical framework.

Authors:  P Srinivasan
Journal:  Proc AMIA Symp       Date:  1999

2.  Clinical classification and terminology: some history and current observations.

Authors:  C G Chute
Journal:  J Am Med Inform Assoc       Date:  2000 May-Jun       Impact factor: 4.497

3.  A semantic lexicon for medical language processing.

Authors:  S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1999 May-Jun       Impact factor: 4.497

4.  Linking biomedical language information and knowledge resources: GO and UMLS.

Authors:  I N Sarkar; M N Cantor; R Gelman; F Hartel; Y A Lussier
Journal:  Pac Symp Biocomput       Date:  2003

Review 5.  The Copernican era of healthcare terminology: a re-centering of health information systems.

Authors:  C G Chute
Journal:  Proc AMIA Symp       Date:  1998

6.  A "lexically-suggested logical closure" metric for medical terminology maturity.

Authors:  K E Campbell; M S Tuttle; K A Spackman
Journal:  Proc AMIA Symp       Date:  1998

7.  A framework for comprehensive health terminology systems in the United States: development guidelines, criteria for selection, and public policy implications. ANSI Healthcare Informatics Standards Board Vocabulary Working Group and the Computer-Based Patient Records Institute Working Group on Codes and Structures.

Authors:  C G Chute; S P Cohn; J R Campbell
Journal:  J Am Med Inform Assoc       Date:  1998 Nov-Dec       Impact factor: 4.497

8.  DISNOR: a disease network open resource.

Authors:  Prisca Lo Surdo; Alberto Calderone; Marta Iannuccelli; Luana Licata; Daniele Peluso; Luisa Castagnoli; Gianni Cesareni; Livia Perfetto
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

  8 in total

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