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차태수,이은희,이기영 대한천식알레르기학회 1985 천식 및 알레르기 Vol.5 No.1
We tried rush immunotherapy in 22 cases of asthmatic children who visited the pediatric allergy clinic of Yonsei University College of Medicine. The following results were obtained: 1) The mean admission days required for rush immunotherspy were 7 days and total No. of injec- tions were 28. 8 times per patient. 2) Allergen used for rush immunotherapy was D. farinae (68. 2%), B. berna (18. 2'%) and house. Dust in order. 3) All but one case, medications were given to suppress the symptoms during rush immunotherapy. Local and systemic side reactions were developed in 45. 5% and 50. 0% I respectively. These side reactions were caused by D. farinae and these were easily alleviated by antiasthmatic medication. 4) Systemic side reactions were mostly developed by undiluted solutions. 5) On discharge, the concentrations of allergen for rush immunotherapy were one tenth of undil uted allergen, which were suitable for maintenance therapy. 6) Follow up period of the discharged patients were on the average of 3. 5 months. In most of the cases, the concentration of allergen at the end of the follow up period when compared to the concentration at the time of discharge were still suffice for the maintenance dose in spite of some clmnges in concentration of allergen. According to above results, we concluded that by using rush immunotherapy carefully the concentration of allergen can be raised to maintenance dose without great difficulty. In cases of some side reactions during rush immunotherapy, initially one tenth of diluted solution can be given as a mainte- nance concentration then slowly increase the concentration of allergen. Additionally we think that rush immunotherpy should be used for those selectively indicated patients.
김성윤(Seong yoon Kim),차태수(Tae soo Cha),박제원(Jea won Park),최재현(Jae hyun Choi),이남용(Nam yong Lee) 한국IT서비스학회 2014 한국IT서비스학회지 Vol.13 No.3
Due to indiscriminately received spam messages on information society, spam messages cause damages not only to person but also to our community. Nowadays a lot of spam filtering techniques, such as blocking characters, are studied actively. Most of these studies are content-based spam filtering technologies through machine learning.. Because of a spam message transmission techniques are being developed, spammers have to send spam messages using term spamming techniques. Spam messages tend to include number of nouns, using repeated words and inserting special characters between words in a sentence. In this paper, considering three features, SPSS statistical program were used in parameterization and we derive the equation. And then, based on this equation we measured the performance of classification of spam messages. The study compared with previous studies FP-rate in terms of further minimizing the cost of product was confirmed to show an excellent performance.