• Genomics & Informatics
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• 제17권2호
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• pp.16.1-16.4
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• 2019

Medical Subject Headings (MeSH), a medical thesaurus created by the National Library of Medicine (NLM), is a useful resource for natural language processing (NLP). In this article, the current status of the Japanese version of Medical Subject Headings (MeSH) is reviewed. Online investigation found that Japanese-English dictionaries, which assign MeSH information to applicable terms, but use them for NLP, were found to be difficult to access, due to license restrictions. Here, we investigate an open-source Japanese-English glossary as an alternative method for assigning MeSH IDs to Japanese terms, to obtain preliminary data for NLP proof-of-concept.

• 한국응급구조학회지
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• 제16권2호
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• pp.43-51
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• 2012

Purpose : We try to disclose how much the keywords of the papers from the Korean Journal of Emergency Medical Services with Medical Subject Headings(MeSH) terminologies and to understand the major subjects of the recent emergency medical technology research in Korea from keywords. Methods : We analyzed keywords from 524 articles of the Korean Journal of Emergency Medical Services that were published between 2005 and 2011. We investigated frequently used keywords and what percentages of keywords agree with MeSH terms using the MeSH browser. Results : There were on average 3.2 keywords per article. The most frequent key words were AED, Attitude, Cardiopulmonary Resuscitation, CPR, EMT, EMT students, External Defibrillator, Job satisfaction, Knowledge, 119 EMT in order. The number of terms in precise agreement with MeSH headings was 101(19.3%); 327 terms(62.4%) were not found in the MeSH browser and 96 terms(18.3%) partially matched MeSH terms. Conclusion : Many keywords used in the Korean Journal of Emergency Medical Services did not agree with MeSH terms. We conclude that contribution rules should be using MeSH terms and authors should be educated in the proper use of MeSH terms in their research and subsequent publication.

• 대한치과마취과학회지
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• 제14권3호
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• pp.143-149
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• 2014

Background: The purpose of this study was to analyze the equality between key words used in the Journal of Korean Dental Society of Anesthesiology and Medical Subject Headings (MeSH). Methods: A total of 666 English key words in 187 papers (average 3.5 words in a paper) from 2001 to 2014 were eligible for this study. We classified them according to matched, and non-matched terms. After descriptive analysis, we assayed patterns of errors in using MeSH, and reviewed frequently used non-MeSH terms. Results: Fifty nine point six percent (59.6%) of total key words were completely coincident with MeSH terms, 40.39% were not MeSH terms. Conclusions: The results show that the coincidence rate of key words with MeSH terms was at a moderate level. However, there is a need for us to understand MeSH more specifically and accurately. Use of proper key words aligned with the international standards such as MeSH is important to be properly cited. The authors should pay attention and be educated on correct use of MeSH as key words.

• Genomics & Informatics
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• 제18권2호
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• pp.22.1-22.3
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• 2020

The Medical Subject Headings (MeSH) thesaurus is a controlled vocabulary for indexing biomedical documents that is used for document retrieval and other natural language processing purposes. However, although the oariginal English MeSH is freely available, its Japanese translation has a restricted license. We attempted to create an open alternative, and for this purpose we made a script for assigning MeSH UIDs to Japanese medical terms using Japanese-English glossaries. From the MeSpEn glossary and MEDUTX dictionary, we generated a 12,457-word Japanese-MeSH dictionary.

• 대한소아치과학회지
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• 제43권2호
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• pp.123-128
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• 2016

연구의 목적은 대한소아치과학회지에서 사용된 주요어와 의학주제표목(medical subject headings, MeSH)와의 일치도를 분석하는 것이다. 1998년부터 2014년까지 대한소아치과학회지에 게재된 1165편의 논문에서 총 4353개의 주요어를 연구대상으로 하여, MeSH와 일치하는 단어와 일치하지 않는 단어로 분류하였다. 주요어의 24.9%는 MeSH 용어와 일치하였고, 75.1%는 일치하지 않았다. 이 결과는 대한소아치과학회지의 주요어와 MeSH와의 일치도가 낮음을 보여준다. 따라서 MeSH를 더 구체적이고 정확하게 이해할 필요가 있다. MeSH와 같은 적절한 주요어를 사용하는 것은 국제적인 기준에 부합하기 위해 필요하다. 저자들은 주요어로써 적절한 MeSH 용어를 사용하도록 주의를 기울여야 할 것이다.

• 한국치위생학회지
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• 제18권6호
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• pp.1047-1055
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• 2018

Objectives: The purpose of this study was to compare the author key words and MeSH (Medical Subject Headings) terms in the Journal of Korean Society of Dental Hygiene (JKSDH). Methods: A total of 3,242 author key words from 974 informative articles published from 2001 to 2015 were compared with MeSH terms, according to the criteria of complete coincidence, incomplete coincidence, and complete non-coincidence. Results: The coincidence rate of 564 author key words with MeSH terms was 17.4%. The author key words that appeared most frequently (in descending order) were oral health (41 times), dental hygienists (30 times), dental caries (29 times), and knowledge (29 times). There was a non-coincidence rate of 70.5% for 2,286 author key words with MeSH terms. Conclusions: Many author key words used in the JKSDH did not coincide with MeSH terms. The use of author key words that coincide with MeSH terms is necessary to accomplish the international journal.

• 한국문헌정보학회지
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• 제49권2호
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• pp.291-311
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• 2015

This paper demonstrates the comparative analysis of the similarity and difference between Medical Subject Headings (MeSH) and social tags. Both types of metadata have the same purpose - that is, succinctly abstracting content of a given document - but are created from heterogeneous viewpoints. The former MeSH terms show the aspects of publication related professionals, whereas the latter social tags are from the perspectives of general readers. When both types of metadata are assigned to the same publications, do they consist of different nomenclatures reflecting the heterogeneous viewpoints or are they similar, since both metadata types describe the same publications? Social tags are also compared with family terms of MeSH terms in the given MeSH hierarchy, so as to understand the specificity of social tags, related to MeSH terms. Lastly, given the fact that readers assign social tags in casual ways without any restricted vocabulary, we tested how many social tags contain consumer health terms, which are familiar to laypeople. Through these comparisons, we ultimately aim to examine how much the highly controlled publication index reflects general readers' cognitive understandings and stress the necessity of general readers' involvement in the publication indexing process.

• 한국치위생학회지
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• 제21권5호
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• pp.639-644
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• 2021

Objectives: The purpose of this study was to analyze the factors that affected the number of citations for articles published in the Journal of Korean Society of Dental Hygiene based on previous studies. Methods: Information on papers including the number of citations was collected using a web crawling technique. The effect of the number of author keywords, the number of Medical Subject Headings (MeSH) keywords, MeSH match rate, abstract word count and keyword-abstract ratio on the number of citations was analyzed by multiple regression analysis. Results: The use of the MeSH keyword did not have a significant effect on the number of citations. Among the other factors, only the keyword-abstract ratio was statistically significant. Conclusions: Select a topic of constant interest in the field, write the title in detail using colons or asterisks if necessary, and do not repeat the words used in the title in keywords. Select specific keywords deeply related to the topic. In particular, choice words or phrases that are frequently used in the abstract. If the MeSH keyword selection contradicts the previous strategies, boldly give up the MeSH keyword.

• 한국정보관리학회:학술대회논문집
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• 한국정보관리학회 2010년도 제17회 학술대회 논문집
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• pp.21-28
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• 2010

본 연구에서는 PubMed에 등재되었으나 Medical Subject Headings(MeSH)가 부여되지 않은 국내 의학학술지의 문헌을 대상으로 미국국립의학도서관 (NLM: National Library of Medicine)의 Medical Text Indexer(MTI)를 활용하여 MeSH 용어를 추천받은 후, PubMed 레코드의 유사주제문헌 (Relation Citations, PRC)에 부여된 MeSH와의 일치여부를 분석하였다. 또한 논문의 저자가 부여한 키워드(저자키워드)와 PRC MeSH의 일치여부도 비교하였다. PRC MeSH와 MTI MeSH 추천어의 일치율은 주표목이 21.1%였고, 체크태그는 18.1%, 부표목은 16.5%로 나타났다. 우리나라 의학논문에 나타난 저자키워드의 중요한 특징은 MeSH 주표목 위주이고, 체크태그와 부표목은 거의 사용하지 않는 것이다. 따라서 저자키워드와 PRC MeSH 주표목과의 일치율은 23.4%에 이르지만, 체크태그와 부표목의 일치율은 각각 1%, 2.1%였다. 색인전문가가 통제어휘를 사용하여 색인하는 과정에서 PRC와 MTI의 MeSH 주표목과 저자키워드가 일치하는 용어를 주표목으로 부여하고, PRC와 MTI가 추천하는 체크태그와 부표목을 활용하는 등 국내 의학문헌의 MeSH 용어 부여 작업을 반자동화(semi-indexing)하면, 정확하고 신속한 MeSH 부여 작업이 가능할 것이다.

• Journal of Computing Science and Engineering
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• 제6권2호
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• pp.151-160
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• 2012

We present a methodology that automatically selects indexing algorithms for each heading in Medical Subject Headings (MeSH), National Library of Medicine's vocabulary for indexing MEDLINE. While manually comparing indexing methods is manageable with a limited number of MeSH headings, a large number of them make automation of this selection desirable. Results show that this process can be automated, based on previously indexed MEDLINE citations. We find that AdaBoostM1 is better suited to index a group of MeSH hedings named Check Tags, and helps improve the micro F-measure from 0.5385 to 0.7157, and the macro F-measure from 0.4123 to 0.5387 (both p < 0.01).