• 건강소식
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• 제12권12호통권121호
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• pp.34-41
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• 1988

환경공해, 약물 남용 등으로 인해 선천적으로 신체적 이상을 갖고 태어나는 어린이들이 늘고 있어, 어린이 건강, 더 나아가 국민 건강 향상에 악영향을 미치고 있다. 그러나 이 선천성 기형도 조기에 발견만하면 충분히 치료가 가능하다고 이동환 순천향의대 소아과교수는 지난 11월 11일 건강관리협회에서 있었던 건강관리 Work-shop을 통해 발표했다. 본문은 그의 발표문을 게재한 것이다.

• 월간낙농육우
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• 제30권2호
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• pp.118-124
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• 2010

목장에서 사육가축의 건강관리를 위해서는 빠른 응급치료가 중요하다. 그러나 목장에서 자가치료 시, 치료에 관한 잘못된 상식이나 약물처치로 인해 회복가능한 환축이 폐사하는 경우를 접하는 경우가 있다. 목장에서 환축 발생시 치료율을 높일 수 있는 응급처치에 대해 소개하고, 자가치료 시 흔히 범할 수 있는 실수에 관해 사례를 중심으로 논의하고자 한다.

• Journal of the Korean Society for information Management
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• 제39권1호
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• pp.1-15
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• 2022

This study analyzes the relationship of citations appearing in the patent data to understand knowledge transfers and impacts between patent documents in the field of pharmaceutical research. Patent data were collected from a website, Google Patents. The top 25 assignees were selected by searching for patent documents related to pharmaceutical research. We identify the citation relationships between assignees, then calculate and compare the values of h-index and derived indicators by using the number of citations and rank for each document of each assignee. As a result, in the case of pharmaceutical research, the assignee, such as 'Pfizer, MIT, and Abbott' shows a high impact. Among the five bibliometric indicators, the g-index and hS-index show similar results, and the indicators are the most related to the rankings of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In addition, it is highly related to the five indicators in the order of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In some cases, it is difficult to make an accurate comparison with Cites per Patents alone, which is previously known to indicate the technological influence of patent assignees.

• The Journal of the Korea institute of electronic communication sciences
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• 제8권9호
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• pp.1391-1397
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• 2013

As Korea is expected to enter an aging society in near future, the number of patients who need a long-term prescription is expected to increase as well. In particular, Korea shows the highest in both the incident rate and the death rate among OECD member nations. The current situation requires more strict monitoring and management for patients' taking medicine, there are a few practical problems such as personnel expenses. In order to realize the efficient management of medicine administration, this paper proposes a smart pillbox that is developed based on IT technologies. Through the experiments in which actual patients participate, it is proved that the smart pillbox is beneficial to the patients taking medicine.

• Korean Journal of Clinical Pharmacy
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• 제21권4호
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• pp.383-389
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• 2011

CSS for identifying ADEs are sufficiently developed for broad use and they are much more accurate than spontaneous reporting and more time- and cost-effective than manual chart review. Also computer alert systems can be used to identify opportunities to prevent or reduce patient injury associated with a broad range of ADEs. This CSS can be used to identify opportunities to prevent or reduce patient injury associated with preventable ADEs and increase patient safety, increase quality of drug therapy and decrease the extra-cost of the treatment for ADEs. In the future, increasing utilization of this concurrent CSS should have an enormous beneficial impact on the quality of medical care.

• Journal of the Korea Society of Computer and Information
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• 제14권3호
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• pp.183-192
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• 2009

ADESS(Adverse drug event surveillance system) is the system which distinguishes adverse drug events using adverse drug signals. This system shows superior effectiveness in adverse drug surveillance than current methods such as volunteer reporting or char review. In this study, we built clinical data mart(CDM) for the development of ADESS. This CDM could obtain data reliability by applying data quality management and the most suitable clustering number(n=4) was gained through the reproducibility assessment in unsupervised learning techniques of knowledge discovery. As the result of analysis, by applying the clustering number(N=4) K-means, Kohonen, and two-step clustering models were produced and we confirmed that the K-means algorithm makes the most closest clustering to the result of adverse drug events.

• 대한치주과학회:학술대회논문집
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• 대한치주과학회 1999년도 제39회 종합학술대회 연제초록
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• pp.85-85
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• 1999

• The Korean Nurse
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• 제35권4호
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• pp.16-22
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• 1996

• The Korea Swine Journal
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• 제18권1호통권197호
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• pp.88-92
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• 1996

• The Monthly Diabetes
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• 통권182호
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• pp.28-31
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• 2005