Mapping biomedical terminologies using natural language processing tools and UMLS: Mapping the Orphanet thesaurus to the MeSH

被引：9
作者：
Merabti, T. [1 ,2 ]
Joubert, M. [2 ]
Lecroq, T. [1 ]
Rath, A. [3 ]
Darmoni, S. J. [1 ]
机构：
[1] Univ Rouen, Inst Biomed Res, Rouen Univ Hosp, CISMeF Team,TIBS,LITIS,Cour Leschevein,EA 4108, F-76031 Rouen, France
[2] Fac Med Marseille, LERTIM EA 3283, F-13385 Marseille, France
[3] Orphanet Inserm SC11, F-75014 Paris, France
来源：
IRBM | 2010年 / 31卷 / 04期
关键词：
ICD10; Natural language processing; Vocabulary controlled; UMLS;
D O I：
10.1016/j.irbm.2010.04.003
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Background. - Orphanet aims to provide rare disease information to healthcare professionals, patients. and their relatives. Objective. - The 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. Results. - On a corpus of 375 mappings, the string-based matching provides significantly better results than the UMLS and manual Orphanet-ICD-10 link-based mapping. Conclusion. - String-based matching could be applied to any biomedical terminology in French not yet included into UMLS. (C) 2010 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码：221 / 225
页数：5
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