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Multi-terminology indexing for the assignment of MeSH descriptors to medical abstracts in French. | LitMetric

AI Article Synopsis

Article Abstract

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%).

Conclusion: In a few weeks, CISMeF will launch the indexing of resources based on title and abstract, using nine terminologies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2815432PMC

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