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Mortazavi, Hamed;Baharvand, Maryam
- Imaging Science in Dentistry
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- v.46 no.4
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- pp.229-237
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- 2016
Purpose: The aim of this article is to review a group of lesions associated with periodontal ligament (PDL) widening. Materials and Methods: An electronic search was performed using specialized databases such as Google Scholar, PubMed, PubMed Central, Science Direct, and Scopus to find relevant studies by using keywords such as "periodontium", "periodontal ligament", "periodontal ligament space", "widened periodontal ligament", and "periodontal ligament widening". Results: Out of nearly 200 articles, about 60 were broadly relevant to the topic. Ultimately, 47 articles closely related to the topic of interest were reviewed. When the relevant data were compiled, the following 10 entities were identified: occlusal/orthodontic trauma, periodontal disease/periodontitis, pulpo-periapical lesions, osteosarcoma, chondrosarcoma, non-Hodgkin lymphoma, progressive systemic sclerosis, radiation-induced bone defect, bisphosphonate-related osteonecrosis, and osteomyelitis. Conclusion: Although PDL widening may be encountered by many dentists during their routine daily procedures, the clinician should consider some serious related conditions as well.
https://doi.org/10.5624/isd.2016.46.4.229 인용 PDF KSCI

Choi, Yun-Jeong;Park, Seung-Soo
- Proceedings of the Korean Society for Bioinformatics Conference
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- 2005.09a
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- pp.101-106
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- 2005
Recently, as the size of genetic knowledge grows faster, automated analysis and systemization into high-throughput database has become hot issue. One essential task is to recognize and identify genomic entities and discover their relations. However, ambiguity of name entities is a serious problem because of their multiplicity of meanings and types. So far, many effective techniques have been proposed to analyze documents. Yet, accuracy is high when the data fits the model well. The purpose of this paper is to design and implement a document classification system for identifying entity problems using text/data mining combination, supplemented by rich data mining algorithms to enhance its performance. we propose RTP ost system of different style from any traditional method, which takes fault tolerant system approach and data mining strategy. This feedback cycle can enhance the performance of the text mining in terms of accuracy. We experimented our system for classifying RB-related documents on PubMed abstracts to verify the feasibility.
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Kim, Jeong-uk;Choi, Key-Sun
- 한국어정보학회:학술대회논문집
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- 2016.10a
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- pp.85-89
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- 2016
프레임넷 (FrameNet) 프로젝트는 버클리에서 1997년에 처음 제안했으며, 최근에는 다양한 언어적 특징을 반영하여 여러 국가에서 사용되고 있다. 하지만 문장의 프레임을 분석하는 것은 자연언어처리 전문가들이 많은 시간을 들여야 한다. 이 때문에, 한국어 프레임넷을 처음 만들 때는 충분한 훈련을 받은 번역가들이 영어 프레임넷의 문장들과 그 주석 정보들을 직접 번역하는 방법을 사용했다. 결과적으로 상대적으로 적은 비용이 들지만, 여전히 한 문장에 여러 번 등장하는 프레임 정보를 모두 번역하고 에러를 분석해야 했기에 많은 노력이 들어갔다. 본 연구에서는 일본어와 한국어의 언어적 유사성을 사용하여 비교적 적은 비용으로 한국어 프레임넷을 확장하는 방법을 제시한다. 또한 프레임넷에 친숙하지 않은 사용자가 더욱 쉽게 프레임 정보를 활용할 수 있도록 PubAnnotation 기술을 도입하고 "조사"라는 특성을 고려한 Valence pattern 분류를 통해 한국어 공개 프레임넷 사이트를 개선하였다.
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