Concept oriented Standardization and Statistics oriented Classification: Continuing the Classification versus Nomenclature Controversy

TitleConcept oriented Standardization and Statistics oriented Classification: Continuing the Classification versus Nomenclature Controversy
Publication TypeJournal Article
Year of Publication1998
AuthorsIngenerf J., Giere W.
JournalMethods of information in medicine
Volume37
Issue4-5
Pages527-39
Date Published1998 Nov
Publication Languageeng
ISSN0026-1270
KeywordsData Interpretation, Statistical, Disease, Documentation, Humans, Information Storage and Retrieval, Medical Informatics Computing, Medical Records Systems, Computerized, Terminology as Topic, Vocabulary, Controlled
Abstract

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.

PubMed Link

http://www.ncbi.nlm.nih.gov/pubmed/9865051?dopt=Abstract

Alternate JournalMethods Inf Med
Created at November 20, 2012 - 1:16pm by Kulbe.

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