J Korean Soc Med Inform Search

CLOSE


Healthc Inform Res > Volume 10(1); 2004 > Article
Journal of Korean Society of Medical Informatics 2004;10(1):43-53.
DOI: https://doi.org/10.4258/jksmi.2004.10.1.43    Published online March 31, 2004.
Effective Query Expansion using Condensed UMLS Metathesaurus for Medical Information Retrieval
Seung Bin Han, Jinwook Choi
Department of Biomedical Engineering, College of Medicine, Seoul National University, Korea.
Abstract

Medical vocabularies in medical records are used in several synonyms and various expressions even though they are same concepts. Query expansion using a thesaurus enhances recall of medical information retrieval (IR) system for searching patient records or literatures. This study proposed IR system architecture applied the Metathesaurus of Unified Medical Language System (UMLS). To enhance the retrieval effectiveness at the same time to reduce retrieval time, we reconstructed condensed Metathesaurus (CMT), which is constituted of frequently used terms in medical records. We used 40,000 radiology reports of Brain CT/MRI at Seoul National University Hospital. The retrieval model we used is the Boolean methods. The results showed 15~27% effectiveness for searching relevant documents implementing the UMLS MT into IR system for query expansion. But it took 3.5 times longer for retrieval compared with non-MT implemented IR system. When we applied the CMT into IR system, however, the retrieval time reduced by 50% and the retrieval performance decreased only 8.7% compared with all MT implemented IR system. In this paper, we developed the medical document retrieval system applied UMLS MT for query expansion methods that can improve the relevant document retrieval performance, at the same time it can reduce the retrieval time through consisting condensed Metathesaurus for a specific domain.

Key Words: Unified Medical Language System, Metathesaurus, Information Storage and Retrieval, Evaluation Studies, Computing Methodologies
TOOLS
Share :
Facebook Twitter Linked In Google+ Line it
METRICS Graph View
  • 1 Crossref
  •    
  • 357 View
  • 0 Download
Related articles in Healthc Inform Res

A Selective Encryption Algorithm Based on AES for Medical Information2010 March;16(1)



ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
1618 Kyungheegung Achim Bldg 3, 34, Sajik-ro 8-gil, Jongno-gu, Seoul 03174, Korea
Tel: +82-2-733-7637, +82-2-734-7637    E-mail: hir@kosmi.org                

Copyright © 2021 by Korean Society of Medical Informatics. All rights reserved.

Developed in M2community

Close layer
prev next