Document Detail


Toward automating an inference model on unstructured terminologies: OXMIS case study.
MedLine Citation:
PMID:  20865550     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Most modern biomedical vocabularies employ some hierarchical representation that provides a "broader/narrower" meaning relationship among the "codes" or "concepts" found within them. Often, however, we may find within the clinical setting the creation and curation of unstructured custom vocabularies used in the everyday practice of classifying and categorizing clinical data and findings.A significant and widely used example of this lies in the General Practice Research Database which makes use of the Oxford Medical Information Systems (OXMIS) coding scheme to represent drugs and medical conditions. This scheme is intrinsically unstructured, is generally regarded as disorganized, and is not amenable to comparison with other hierarchically structured medical coding schemes. To improve processes of data analysis and extraction, we define a semantically meaningful representation of the OXMIS codes by way of the Unified Medical Language System (UMLS) Metathesaurus. A structure-imposing ontology mapping is created, and this process provides a complete illustration of a general semantic mapping technique applicable to unstructured biomedical terminologies.
Authors:
Jeffery L Painter
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Advances in experimental medicine and biology     Volume:  680     ISSN:  0065-2598     ISO Abbreviation:  Adv. Exp. Med. Biol.     Publication Date:  2010  
Date Detail:
Created Date:  2010-09-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0121103     Medline TA:  Adv Exp Med Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  645-51     Citation Subset:  IM    
Affiliation:
GlaxoSmithKline, Research Triangle Park, NC 27709, USA. jeffery.l.painter@gsk.com
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