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Evaluation of multi-terminology super-concepts for information retrieval
Nicolas Griffon1, Lina F Soualmia, Aurélie Névéol
1CISMeF, Rouen University Hospital, France.
Studies in Health Technology and Informatics
|September 7, 2011
Summary
Using multiple terminologies for health information indexing increases recall but slightly lowers precision. Automated indexing tools need further development for precise retrieval.
Area of Science:
- Medical Informatics
- Information Retrieval
- Health Data Management
Background:
- French health gateway CISMeF updated its indexing policy.
- Multiple terminologies are now used for indexing, beyond MeSH®.
Purpose of the Study:
- Evaluate super-concept retrieval performance.
- Compare multi-terminology vs. MeSH-only indexing for precision and recall.
Main Methods:
- Assessed relevance of resources retrieved.
- Utilized multi-terminology and MeSH-only super-concept queries.
Main Results:
- Recall increased by 8-14% with multi-terminology.
- Precision decreased from 0.66 (MeSH-only) to 0.61 (multi-terminology).
- Performance varied significantly by super-concept and indexing method.
Conclusions:
- Multi-terminology indexing enhances recall but reduces precision.
- Automated indexing requires improvement for highly precise information retrieval.
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