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BabelMeSH and PICO Linguist in Arabic.
Mai A Mahmoud1, Jawad Thamer Jawad Al-Khafaji, Najeeb Al-Shorbaji
1Weill Cornell Medical College-Qatar, Doha, Qatar.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|November 13, 2008
Summary
BabelMeSH offers Arabic searching for MEDLINE/PubMed by translating medical terms. Accuracy reached 65% in human review, suggesting potential for improved cross-language medical information access.
Area of Science:
- Medical Informatics
- Natural Language Processing
- Biomedical Databases
Background:
- MEDLINE/PubMed is a critical resource for medical literature.
- Multilingual access to biomedical databases remains a challenge.
- Standardized medical terminologies like MeSH are essential for effective searching.
Purpose of the Study:
- To develop and evaluate BabelMeSH, a tool for searching MEDLINE/PubMed using Arabic medical terms.
- To assess the accuracy of Arabic translations of MeSH terms and other medical vocabulary.
- To facilitate cross-language information retrieval in the biomedical domain.
Main Methods:
- Creation of a MySQL database containing Arabic translations of MeSH and medical terms.
- Development of a web-based interface for Arabic searching of MEDLINE/PubMed.
- Evaluation of BabelMeSH accuracy using a curated list of medical terms from BMJ Clinical Evidence.
Main Results:
- BabelMeSH achieved 58% accuracy via machine scoring.
- Human review indicated a 65% accuracy rate for BabelMeSH.
- Observed accuracy variations may stem from diverse Arabic medical term expressions.
Conclusions:
- BabelMeSH demonstrates a viable approach for Arabic-language searching of PubMed.
- The tool's accuracy highlights the complexities of medical term translation across languages.
- Further refinement is needed to address linguistic variations for enhanced performance.
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