Document Detail


Concept-oriented standardization and statistics-oriented classification: continuing the classification versus nomenclature controversy.
MedLine Citation:
PMID:  9865051     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Nowadays, most activities on controlled medical vocabularies focus on the provision of a sufficient atomic-level granularity for representing clinical data. Amongst others, clinical vocabularies should be concept oriented, compositional and should also reject "Not Elsewhere Classified". We strongly share the opinion that there is a need to deal with serious deficits of existing manually created vocabularies and with new demands for computer-based advanced processing and exchange of medical language data. However, we do not share the opinion that methodological requirements like observational and structural comparability needed for sound statistics should not be included in desiderata of controlled medical vocabularies. Statistical-oriented classifications are not developed for representing detailed clinical data but for providing purpose-dependent classes where cases of interest are assigned uniquely. Either statistical classifications are not included into the set of controlled medical vocabularies in the sense of Cimino, or his desiderata are misleading. We argue that statistical classifications should be linked to (formal) concept systems, but again this linkage does not change their different natures. With this article we continue the "classification versus nomenclature" controversy referring to Coté.
Authors:
J Ingenerf; W Giere
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Methods of information in medicine     Volume:  37     ISSN:  0026-1270     ISO Abbreviation:  Methods Inf Med     Publication Date:  1998 Nov 
Date Detail:
Created Date:  1999-02-24     Completed Date:  1999-02-24     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0210453     Medline TA:  Methods Inf Med     Country:  GERMANY    
Other Details:
Languages:  eng     Pagination:  527-39     Citation Subset:  IM    
Affiliation:
GSF-National Research Center for Environment and Health, Neuherberg, Germany. ingenerf@medinf.mu-luebeck.de
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MeSH Terms
Descriptor/Qualifier:
Data Interpretation, Statistical
Disease / classification*
Documentation
Humans
Information Storage and Retrieval
Medical Informatics Computing*
Medical Records Systems, Computerized
Terminology as Topic*
Vocabulary, Controlled*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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