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Lee, Oh, Han, and Lee: A Korean MeSH Keyword Suggestion System for Medical Paper Indexing
Original Article

Journal of Korean Society of Medical Informatics 2005; 11(4): 337-343.

Published online: 31 December 2005

DOI: https://doi.org/10.4258/jksmi.2005.11.4.337

A Korean MeSH Keyword Suggestion System for Medical Paper Indexing

Jae Sung Lee, Young Soon Oh, Sang Hee Han, Young Sung Lee

Department of Computer Education, College of Teachers, Chungbuk National University Cheongju, Korea.

Information and Computer Education Major, Graduate School of Education, Chungbuk National University Cheongju, Korea.

Department of Health Informatics and Management, College of Medicine, Chungbuk National University Cheongju, Korea.

misogiyoo@empal.com jasonl@cbu.ac.kr

Copyright © Korean Society of Medical Informatics

Abstract

OBJECTIVE

Indexing medical documents is important to retrieve medical information efficiently, but it is labor intensive and an annoying task for indexers or authors. This paper presents that whether an automatic indexing program can help the human task for Korean medical keyword indexing.

METHODS

We developed an automatic indexing program using Korean Medical Subject Heading(K-MeSH) and evaluated the performance as compared with technical indexers and authors.

RESULTS

Experimental result was that the current program's performance was much lower than technical indexers', but it was same as the authors' performance.

CONCLUSION

The result showed that it is very affirmative to develop the automatic indexing program to help authors at least, and to help technical indexers with improving the program by enriching K-MeSH and utilizing K-MeSH structure.

Keywords: Medical Subject Heading, Korean Medical Keyword, Automatic Indexing, Information Retrieval

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