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BMC Medical Informatics and Decision Making
Published in: BMC Medical Informatics and Decision Making 1/2011

Open Access 01-12-2011 | Research article

Translating the foundational model of anatomy into french using knowledge-based and lexical methods

Authors: Tayeb Merabti, Lina F Soualmia, Julien Grosjean, Olivier Palombi, Jean-Michel Müller, Stéfan J Darmoni

Published in: BMC Medical Informatics and Decision Making | Issue 1/2011

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Abstract

Background

The Foundational Model of Anatomy (FMA) is the reference ontology regarding human anatomy. FMA vocabulary was integrated into the Health Multi Terminological Portal (HMTP) developed by CISMeF based on the CISMeF Information System which also includes 26 other terminologies and controlled vocabularies, mainly in French. However, FMA is primarily in English. In this context, the translation of FMA English terms into French could also be useful for searching and indexing French anatomy resources. Various studies have investigated automatic methods to assist the translation of medical terminologies or create multilingual medical vocabularies. The goal of this study was to facilitate the translation of FMA vocabulary into French.

Methods

We compare two types of approaches to translate the FMA terms into French. The first one is UMLS-based on the conceptual information of the UMLS metathesaurus. The second method is lexically-based on several Natural Language Processing (NLP) tools.

Results

The UMLS-based approach produced a translation of 3,661 FMA terms into French whereas the lexical approach produced a translation of 3,129 FMA terms into French. A qualitative evaluation was made on 100 FMA terms translated by each method. For the UMLS-based approach, among the 100 translations, 52% were manually rated as "very good" and only 7% translations as "bad". For the lexical approach, among the 100 translations, 47% were rated as "very good" and 20% translations as "bad".

Conclusions

Overall, a low rate of translations were demonstrated by the two methods. The two approaches permitted us to semi-automatically translate 3,776 FMA terms from English into French, this was to added to the existing 10,844 French FMA terms in the HMTP (4,436 FMA French terms and 6,408 FMA terms manually translated).
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Literature
1.
Darmoni S, Leroy J, Thirion B, Baudic F, Douyère M, Piot J: CISMeF: a structured health resource guide. Meth Inf Med. 2000, 39: 30-5.
2.
Darmoni S, Sakji S, Pereira S, Merabti T, Prieur E, Joubert M, Thirion B: Multiple terminologies in a health portal: automatic indexing and information retrieval. Artificial Interlligence in MEdecine, Lecture Notes in Computer Science, Springer. 2009, 255-259.
3.
Lindberg DA, Humphreys BL, McCray AT: The Unified Medical Language System. Methods Inf Med. 1993, 32 (4): 281-291.PubMed
4.
Schulz S, Markó K, Sbrissia E, Nohama P, Hahn U: Cognate Mapping A Heuristic Strategy for the semi-supervised Acquisition of a Spanish Lexicon from a Portuguese Seed Lexicon. Proceedings of the 20th International Conference on Computational Linguistics, COLING'04, Geneva, Switzerland. 2004, 813-819.CrossRef
5.
Markó K, Schulz S, Medelyan O, Hahn U: Bootstrapping dictionaries for cross-language information retrieval. Proceedings of the 28th International Conference on Research and Development in Information Retrieval, SIGIR 05, Salvador, Brasil. 2005, 528-535.
6.
Claveau V: Translation of Biomedical Terms by Inferring Rewriting Rules. Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration, IGI - Global. 2009, Chap 6:
7.
Joubert M, Abdoune H, Merabti T, Darmoni S, Fieschi M: Assisting the Translation of SNOMED CT into French using UMLS and four Representative French-language Terminologies. Proc AMIA Symp 2009. 2009, 291-295.
8.
Deléger L, Merabti T, Lecroq T, Joubert M, Zweigenbaum P, Darmoni S: A Twofold Strategy for Translation a Medical Terminology into French. Proc AMIA Symp 2010. 2010, 152-6.
9.
Liu F, Funtelo P, Ackerman M: BabelMeSH: Development of a Cross-language Tool for MEDLINE/PubMed. AMIA Annu Symp Proc. 1012 2006
10.
Markó K, Baud R, Zweigenbaum P, Borin L, Merkel M, Schulz S: Towards a multilingual medical lexicon. AMIA Annu Symp Proc. 2006, 534-8.
11.
Nyström M, Merkel M, Peterson H, Ahlfeldt H: Creating a medical dictionary using word alignment: the influence of sources and resources. BMC Med Inform Decis Mak. 2007, 7:
12.
Widdows D, Dorrow B, Chan C: Using Parallel Corpora to Enrich Multilingual Lexical Resources. Proceedings of the Third International Conference on Language Resources and Evaluation. 2002, Las Palmas, Spain: ELRA, 240-244.
13.
Névéol A, Ozdowska S: Extraction of medical terms from a parallel corpus English/French (Extraction bilingue de termes médicaux dans un corpus parallèle anglais/français). Proceedings EGC'05. 2005, 655-664.
14.
Chiao YC, Zweigenbaum P: Looking for French-English translations in comparable medical corpora. Proc AMIA Symp. 2002, 150-4.
15.
Déjean H, Gaussier E, Renders JM, Sadat F: Automatic processing of multilingual medical terminology: applications to thesaurus enrichment and cross-language information retrieval. AIM. 2005, 33 (2): 111-124.PubMed
16.
Morin E, Daille B, Takeuchi K, Kageura K: Bilingual Terminology Mining - Using Brain, not brawn comparable corpora. Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL'07), Prague, Czech Republic. 2007, 664-671.
17.
Merabti T, Massari P, Joubert M, Sadou E, Lecroq T, Abdoune H, Rodrigues J, Darmoni S: Automated Approach to map a French terminology to UMLS. MedInfo 2010 Cap Town, South Africa. 2010, 160: 1040-1044.
18.
19.
WHO: Classification statistique internationale des maladies et des problèmes de santé connexes. 1993, [Dixième révision]
20.
Côté RA, Rothwell DJ, Patolay J, Beckett R, Brochu L: The Systematised Nomenclature of Human and Veterinary Medicine: SNOMED International. Tech. rep., College of American Pathologists. 1993
21.
WHO: WHO-ART: International monitoring of adverse reactions to drugs: adverse reaction terminology. Collaborating Center of International Drug Monitoring. 1992
22.
Jamoulle M, Roland M, Humbert J, Brûlet JF: Traitement de l'information médicale par la Classification internationale des soins primaires, deuxième version: CISP-2 Care Edition, Bruxelles. 2000
23.
Brown E, Wood L, Wood S: The medical dictionary for regulatory activities (MedDRA). Drug Saf. 1999, 2: 109-117.CrossRef
24.
Aymé S, Urbero B, Oziel D, Lacouturier E, Biscarat A: Information on rare diseases: the ORPHANET project. Rev Med Interne. 1998, 19 (Suppl 3): 376S-377S.CrossRefPubMed
25.
Ferru P, Kandel O: Dictionnaire des Résultats de Consultation (révision 2003-04). Doc Rech Med Gen. 2003, 62: 3-54.
26.
27.
Rosse C, Mejino J: A reference ontology for biomedical informatics: the Foundational Model of Anatomy. Journal of Biomedical Informatics. 2003, 36: 478-500. 10.1016/j.jbi.2003.11.007.CrossRefPubMed
28.
Noy N, Musen M, Mejino JL, Rosse C: Pushing the envelope: challenges in a frame-based representation. Data Knowl Eng. 2004, 48: 335-359. 10.1016/j.datak.2003.06.002.CrossRef
29.
30.
Fabry P, Baud R, Burgun A, Lovis C: Amplification of Terminologia anatomica by French language terms using Latin terms matching algorithm: A prototype for other language. International Journal of Medical Informatics. 2006, 75 (7): 542-552. 10.1016/j.ijmedinf.2005.08.008.CrossRefPubMed
31.
Committee IAN: Nomina Anatomica: Approved by the Eleventh International Congress of Anatomists at Mexico City, 1980: Together with Nomina Histologica, and Nomina Embryologica. 1983, Williams & Wilkins
32.
33.
34.
Merabti T: Methods to map health terminologies: contribution to the semantic interoperability between health terminologies. PhD thesis. 2010, University of Rouen
35.
Merabti T, Joubert M, Lecroq T, Rath A, Darmoni S: Mapping biomedical terminologies using natural language processing tools and UMLS: mapping the Orphanet thesaurus to the MeSH. Biomedical Engineering and Research. 2010, 31 (4): 221-225.
36.
Browne AC, Divita G, Aronson AR, McCray AT: UMLS language and vocabulary tools. AMIA Annu Symp Proc. 2003, 798-
37.
McCray AT, Srinivasan S, Browne AC: Lexical methods for managing variation in biomedical terminologies. Proc Annu Symp Comput Appl Med Care. 1994, 235-239.
38.
Peters L, Kapusnik-Uner J, Bodenreider O: Methods for Managing Variation in Clinical Drug Names. Proc Annu Symp AMIA 2010. 2010, 637-4.
39.
40.
Doerr M: Semantic problems of thesaurus mapping. Journal of Digital information. 2006, 1 (8):
41.
Vizine-Goetz D, Hickey C, Houghton A, Thompson R: Vocabulary mapping for terminology services. Journal of Digital information. 2006, 4 (4):
42.
Zhang S, Mork P, Bodenreider O, Bernstein P: Comparing two approaches for aligning representations of anatomy. Artificial Intelligence in Medecine. 2007, 39 (3): 226-236.
43.
44.
Yu A: Methods in biomedical ontology. Journal of Biomedical Informatics. 2006, 39 (3): 252-266. 10.1016/j.jbi.2005.11.006.CrossRefPubMed
45.
Fung KW, Bodenreider O, Aronson AR, Hole WT, Srinivasan S: Combining lexical and semantic methods of inter-terminology mapping using the UMLS. Stud Health Technol Inform. 2007, 129 (Pt 1): 605-609.PubMedPubMedCentral
46.
Lei Zeng M, Mai Chan L: Trends and issues in establishing interoperability among knowledge organization systems. Journal of the American Society for Information Science and Technology. 2004, 55 (5): 377-395. 10.1002/asi.10387.CrossRef
47.
Taboada M, Lalín R, Martínez D: An automated approach to mapping external terminologies to the UMLS. IEEE Trans Biomed Eng. 2009, 56 (6): 1598-1605.CrossRefPubMed
48.
Bodenreider O, McCray A: Exploring semantic groups through visual approaches. Journal of Biomedical Informatics. 2003, 36 (6): 414-432. 10.1016/j.jbi.2003.11.002.CrossRefPubMedPubMedCentral
Metadata
Title
Translating the foundational model of anatomy into french using knowledge-based and lexical methods
Authors
Tayeb Merabti
Lina F Soualmia
Julien Grosjean
Olivier Palombi
Jean-Michel Müller
Stéfan J Darmoni
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2011
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/1472-6947-11-65

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