| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 871203 | IRBM | 2010 | 5 Pages |
Abstract
BackgroundOrphanet aims to provide rare disease information to healthcare professionals, patients, and their relatives.ObjectiveThe objective of this work is to evaluate two methodologies (Unified Medical Languages Systems [UMLS] and manual Orphanet-ICD-10 link-based mapping & string-based matching) used to map Orphanet thesaurus to the MeSH thesaurus.ResultsOn a corpus of 375 mappings, the string-based matching provides significantly better results than the UMLS and manual Orphanet-ICD-10 link-based mapping.ConclusionString-based matching could be applied to any biomedical terminology in French not yet included into UMLS.
Related Topics
Physical Sciences and Engineering
Engineering
Biomedical Engineering
Authors
T. Merabti, M. Joubert, T. Lecroq, A. Rath, S.J. Darmoni,