|Title||Coping with the variability of medical terms.|
|Publication Type||Journal Article|
|Year of Publication||2004|
|Authors||Baud, RH, Ruch, P, Gaudinat, A, Fabry, P, Lovis, C, Geissbuhler, A|
|Journal||Studies in health technology and informatics|
|Keywords||Algorithms, Information Storage and Retrieval, Natural Language Processing, Semantics, Terminology as Topic, Vocabulary, Controlled|
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.
|Alternate Journal||Stud Health Technol Inform|