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Coping with the variability of medical terms
Robert H Baud1, Patrick Ruch, Arnaud Gaudinat
1Medical Informatics Division, University Hospitals of Geneva, Geneva, Switzerland. Robert.Baud@dim.hcuge.ch
Objectives:
To cope with medical terms, which present a high variability of expression through a single natural language, in the sense that any term may be reformulated in hundred of different ways.
Methods:
A typology of term variants is presented as a systematic approach in order to favour the implementation of an exhaustive solution. Then, an algorithm able to handle all variants is designed.
Results:
Using MetaMap, single terms are analyzed with a success rate varying between 68 and 88 %; the algorithm presented in this paper improves this situation.
Conclusions:
This experience shows that a semantic driven method, based on a thesaurus, provides a satisfactory solution to the problem of variability of a single term. The presented typology is representative of most variants in a language.