Multi-terminology indexing for the assignment of MeSH descriptors to medical abstracts in French.
BACKGROUND
To facilitate information retrieval in the biomedical domain, a system for the automatic assignment of Medical Subject Headings to documents curated by an online quality-controlled health gateway was implemented. The French Multi-Terminology Indexer (F-MTI) implements a multiterminology approach using nine main medical terminologies in French and the mappings between them.


OBJECTIVE
This paper presents recent efforts to assess the added value of (a) integrating four new terminologies (Orphanet, ATC, drug names, MeSH supplementary concepts) into F-MTI's knowledge sources and (b) performing the automatic indexing on the titles and abstracts (vs. title only) of the online health resources.


METHODS
F-MTI was evaluated on a CISMeF corpus comprising 18,161 manually indexed resources.


RESULTS
The performance of F-MTI including nine health terminologies on CISMeF resources with Title only was 27.9% precision and 19.7% recall, while the performance on CISMeF resources with Title and Abstract is 14.9 % precision (-13.0%) and 25.9% recall (+6.2%).


CONCLUSIONS
In a few weeks, CISMeF will launch the indexing of resources based on title and abstract, using nine terminologies.
Pereira
Suzanne
S
VIDAL, Issy les Moulineaux, France. Suzanne.pereira@vidal.fr
Sakji
Saoussen
S
Névéol
Aurélie
A
Kergourlay
Ivan
I
Kerdelhué
Gaétan
G
Serrot
Elisabeth
E
Joubert
Michel
M
Darmoni
Stéfan J
SJ
D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D007802:Language; D046650:Medical Subject Headings; D009323:Natural Language Processing; D014175:Translating; D018875:Vocabulary, Controlled