• Journal of The Korean Dental Society of Anesthesiology
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• v.14 no.3
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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.

• Journal of the korean academy of Pediatric Dentistry
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• v.43 no.2
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• pp.123-128
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• 2016

The purpose of this study is to analyze the equality between keywords used in the Journal of the Korean Academy of Pediatric Dentistry and medical subject headings (MeSH). A total of 4,353 English keywords in 1,165 papers from 1998 to 2014 were eligible for this study. We classified them according to equality to MeSH. We assayed patterns of errors in using MeSH, and reviewed frequently used non-MeSH terms. 24.9% of total keywords were completely coincident with MeSH terms, 75.1% were not MeSH terms. The results show that the accordance rate of keywords with MeSH terms in the Journal of the Korean Pediatric Dentistry is at a low level. Therefore, there is a need for authors to understand MeSH more specifically and accurately. Use of proper keywords aligned with the international standards such as MeSH is important to be properly cited. Authors should pay attention and be educated on the correct use of MeSH as keywords.

• Journal of Korean Library and Information Science Society
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• v.53 no.2
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• pp.95-115
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• 2022

The purpose of this study is to transform the sub-categorization terms of the National Science and Technology Standards Classification System into technical keywords by applying a machine learning algorithm. For this purpose, AttentionMeSH was used as a learning algorithm suitable for topic word recommendation. For source data, four-year research status files from 2017 to 2020, refined by the Korea Institute of Science and Technology Planning and Evaluation, were used. For learning, four attributes that well express the research content were used: task name, research goal, research abstract, and expected effect. As a result, it was confirmed that the result of MiF 0.6377 was derived when the threshold was 0.5. In order to utilize machine learning in actual work in the future and to secure technical keywords, it is expected that it will be necessary to establish a term management system and secure data of various attributes.

• Journal of the Korean Society for information Management
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• v.21 no.3
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• pp.141-160
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• 2004

Recent reseach in the field of medical information systems has paid much attention to an ontology based medical terminology system to support clinical study and effective information search. This study aims to conduct research for further application or construction of ontology systems in Korea. This research reviews the theory of concept modeling and ontology. and analyses 4 cases of conceptual modeling of medical tenrminologies by ontology, The findings ot this study display these specific characteristics in medscal ontologies: (UHe standardization of terrrinology on MeSH. (2) The conceptualization of tenninology on UMLS. (l) ane. (2) are showed as untormal ontologies. (3) The theory of ontology integration in ON9, (4) The reference model of medical knowledge with formalization in GALEN. (3) and (4) are showed as formal ontologies. The application and construction of ontology should be differentiated according to the level of the proposed system, and then this analysis will provide useful information for the researcher and developer of the system.

• Korean Journal of Clinical Pharmacy
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• v.20 no.1
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• pp.66-71
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• 2010

주의력결핍 과잉행동장애는 미국에서 약 200만 명의 어린이에게 나타나는 심각한 만성 신경행동학적 장애이다. 주의력결핍 과잉행동장애 치료의 중심은 약물요법이다. 그러나 현재 환자의 약 30%는 주의력결핍 과잉행동장애를 적응증으로 갖도록 허가된 의약품들을 사용해도 적절한 치료효과를 얻지 못하고 있는 상황이다. Modafinil은 methylphenidate나 amphetamines와 같은 각성제와는 다른 약리학적 기전으로 중추신경계를 항진시킨다. 본 연구는 modafinil의 주의력결핍 과잉행동장애 치료효과에 대한 최신 지견을 얻고자, 1990년부터 2010년 3월까지 MEDLINE에 등재된 논문을 ADHD와 Modafinil이라는 MeSH terms로 검색하여 추출한 자료 중에서 대조군이 사용된 무작위 배정 및 이중맹검 임상연구 사례만을 선별하여 임상적 유용성을 평가하였다. 현재 modafinil은 주의력결핍 과잉행동 장애 치료제로 허가된 의약품은 아니지만 최근 여러 국가에서 시행된 연구들은 modafinil이 안전하고 효과적인 주의력결핍 과잉행동장애 치료제일 수 있다는 결과를 보여주고 있다.