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의료 정보검색에서 효과적인 질의어 확장을 위한 축약된 시소러스의 개발 및 평가
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| Abstract : We present a medical document retrieval system, which utilizes the UMLS Metathesaurus, and that incorporates query expansion methodology. To improve the retrieval performance of relevant documents and to reduce retrieval time, we constructed a condensed Metathesaurus (CMT), consisting of practically used terms in medical records and then evaluated its retrieval performance and time for relevant documents. The devised system had average 22% effectiveness for searching relevant documents in the UMLS Metathesaurus (MT) implemented information retrieval (IR) system for query expansion. However, MT implemented system took 3.5 times longer to retrieve documents than a non-MT implemented IR system. When we applied the CMT into IR system, the retrieval time reduced by 50% and the retrieval performance reduced by 8.7% compared with all MT implemented IR system. We expect that the UMLS Metathesaurus and its sophisticated methods for information retrieval will make good use of medical information systems. |
| keyword : Unified Medical Language System, Metathesaurus, Information Storage and Retrieval, Evaluation Studies, Computing Methodologies |
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