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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Overcoming terminology barrier using Web resources for cross-language medical information retrieval
Wen-Hsiang Lu1, Ray Shih-Jui Lin, Yi-Che Chan
1Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan, ROC.
Abstract:
A number of authoritative medical websites, such as PubMed and MedlinePlus, provide consumers with the most up-to-date health information. However, non-English speakers often encounter not only language barriers (from other languages to English) but also terminology barriers (from laypersons inverted exclamation mark| terms to professional medical terms) when retrieving information from these websites. Our previous work address language barriers by developing a multilingual medical thesaurus, Chinese-English MeSH, while this study presents an approach to overcome terminology barriers based on Web resources. Two techniques were utilized in our approach: monolingual concept mapping using approximate string matching and crosslingual concept mapping using Web resources. The evaluation shows that our approach can significantly improve the performance on MeSH concept mapping and cross-language medical information retrieval.
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