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정석훈 ( Suk Hoon Chung ),서용무 ( Yong Moo Suh ) LGCNS 엔트루정보기술연구소 2008 Entrue Journal of Information Technology Vol.7 No.1
무분별한 신용카드 발급과 카드 사용자에 대한 관리 부재로 인해 발생한 신용 대란은 신용불량자 당사자는 물론, 신용카드사, 나아가 국가 경제 전반에 걸쳐서 큰 부담으로 작용하고 있다. 이러한 연쇄적인 문제점을 해결하는데 있어서 회복 가능한 신용불량자를 찾아내고, 이들에게 적절한 구제책을 적용하여 상환의 기회를 마련해 주는 것은 매우 중요한 작업이다. 따라서 본 연구에서는 신용불량자에 대한 기존의 이분법적인 분류에 더하여 ``회복가능군``을 새롭게 정의하고, 이들을 예측의 범주에 포함시킨 연체자 분류 예측 모형을 개발하였다. 예측 모형에는 Rough Set 기법이 사용되었다. Rough Set 기법은 빠른 수행 속도와 높은 설명력을 갖추었음에도 불구하고 다른 데이터마이닝 기법들에 비해서 신용 관련 예측 분야에는 상대적으로 적게 사용되었다. 속성 선택 작업을 통해 7개의 입력 변수를 선정했으며 다양한 범주 변수화 방법을 적용하였다. 실험 결과 Rough Set 기법은 기존에 많이 사용되었던 인공신경망 기법 그리고 의사결정나무 기법과 비슷한 예측률을 보였으며 수행 속도에 있어서는 기존의 기법들보다 탁월한 성능을 보여주었다. 실험 과정에서 Rough Set 기법의 성능은 입력 변수의 수와, 범주 변수화 방법에 매우 민감하게 반응하는 것을 관찰할 수 있었다. 따라서 적절한 수의 입력 변수를 찾는 연구와, 정보의 손실을 최소화시킬 수 있는 범주 변수화 방법에 대한 연구가 향후에 필요하다. Indiscreet issue of credit cards and no control over credit card holders have resulted in credit card upheaval, which became a great burden to national economy of Korea as well as to credit card delinquents and card issuers. Reacting to the upheaval, at the end of 2004, Korea government enacted and enforced a law regarding the use and protect of credit information. According to the law, it is important to identify delinquents who will revive sooner or later. So, based on the Rough Set theory, we built a classification model, which classifies a delinquent as one of "good, potentially-good or bad". To that end, we first selected 7 variables using Relief-F, Neural Network Model and Rough Set technology. Then, we discretized value ranges of continuous variables using decision tree and equi-depth partitioning. In our experiment, Rough Set Model showed similar or better prediction ratio than Neural Network Model and Decision Tree Model in a shorter time.
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신경망과 의사결정 나무를 이용한 충수돌기염 환자의 재원일수 예측모형 개발
정석훈(Chung, Suk-Hoon),한우석(Han, Woo-Sok),서용무(Suh, Yong-Moo),이현실(Rhee, Hyun-SiIl) 한국산학기술학회 2009 한국산학기술학회논문지 Vol.10 No.6
충수돌기염 환자의 LoS(Length of Stay)를 예측하는 것은 병상의 운영에 적지 않은 영향을 준다. 본 논문에서는 Neural Networks와 Decision Tree를 이용하여 LoS와 연관이 높은 입력변수들을 찾아 그 의미를 분석하며, 찾아낸 입력변수들을 이용하여 다양한 LoS 예측 모형을 개발하고 그 성능을 비교하였다. 모형의 예측 정확성을 높이기 위하여 Bagging과 Boosting 등의 Ensemble 기법도 적용하였다. 실험 결과, Decision Tree 모형이 Neural Networks 모형보다 좀 더 적은 수의 속성을 가지고도 거의 통일한 예측력을 보였으며, Ensemble 기법 중에서는 Bagging 기법이 Boosting 기법보다 좋은 결과를 보여주었다. 의사결정나무 기법은 Neural Networks 기법에 비해 설명력이 있으며, 충수돌기염의 LoS 예측에 매우 효과적이었고, 중요 입력 변수의 선정에도 좋은 결과를 보여줌에 따라 향후 적극적인 기법의 도입이 필요하다고 할 수 있다. For the efficient management of hospital sickbeds, it is important to predict the length of stay (LoS) of appendicitis patients. This study analyzed the patient data to find factors that show high positive correlation with LoS, build LoS prediction models using neural network and decision tree models, and compare their performance. In order to increase the prediction accuracy, we applied the ensemble techniques such as bagging and boosting. Experimental results show that decision tree model which was built with less number of variables shows prediction accuracy almost equal to that of neural network model, and that bagging is better than boosting. In conclusion, since the decision tree model which provides better explanation than neural network model can well predict the LoS of appendicitis patients and can also be used to select the input variables, it is recommended that hospitals make use of the decision tree techniques more actively.
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만성 염증성 장질환 환자에서 항호중구 세포질 항체의 의의
문윤재(Yoon Jae Moon),배희동(Hee Dong Bae),박효진(Hyo Jin Park),김원호(Won Ho Kim),정석훈(Suk Hoon Chung),김현숙(Hyun Sook Kim),전재윤(Chae Yoon Chon),박인서(In Suh Park) 대한내과학회 1997 대한내과학회지 Vol.52 No.5
N/A Objective: Anti-neutrophil cytoplasmic antibody (ANCA), known as a useful diagnostic marker in patients with ulcerative colitis (UC), are specific for granule proteins of granulocytes and monocytes and induce distinct fluorescence patterns. To evaluate the significance of ANCA in chronic inflammatory bowel disease (IHD), the presence of ANCA in chronic IBD was studied using indirect immunofluorescent test (IIF), Methods: Between March, 1994 and September 1995, 51 patients with chronic inflammatory bowel disease were subjected in this study. We had analysed the correlation between duration, disease activity, location by colonoscopy and radiologic examinations, steroid treatment. Results: 1) Among 34 patients with ulcerative colitis (UC), ANCA was demonstrated in 23 patients (67.6%). Among 19 patients with other chronic IBD (4 Crohn's disease, 6 Behcet's colitis, 7 intestinal tuberculosis and 2 radiation colitis) 2 patients (10.5%) had ANCA. The positivity of ANCA in patients with UC was significantly higher than in patients with other chronic IBD. 2) In patients with UC, c-ANCA was positive in 2 (5.9%) patients and p-ANCA was positive in 21 (61.8%) patients. In patients with other chronic IBD, ANCA was positive in one patient with Behcet's colitis or one patient with intestinal tuberculosis but negative in all patients with Crohn's disease or radiation colitis. 3) The mean duration of disease in ANCA positive patients was 42.4±39.4 months and the mean duration of disease in ANCA negative patients was 44.9±36.8 months, but there was no significant difference. 4) The number of patients in clinically mild, moderate and severe group were 23 (37.6%), 6 (83.2%) and 5 (14.7%) respectively. Among these groups the number of ANCA positive patients were 15 (65.2%), 5 (83.2%) and 3 (60%) respectively, but there was no significant difference. 5) The number of patients with proctitis, left side colitis and pancolitis were 9 (26.5%), 14 (41.2%) and 11 (32.4%) respectively, Among these groups the number of ANCA positive patients were 4 (44.4%), 10 (71.4%) and 9 (81.8%) respectively, but there was no significant difference. 6) Among 13 patients with steroid treatment 9 patients (69.2%) were ANCA positive. Among 21 patients without steroid treatment 16 patients (76.2%) were ANCA positive, but there was no significant difference. Conclusion: Although there was no correlation between ANCA and duration, disease activity, location or steroid treatment in UC patients, ANCA could be a diagnostic marker of UC in chronic IBD patients.
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편측성 흉막 삼출액 환자에서 췌위변화에 의한 Oximetric SaO2 에 관한 연구
조철호(Chul Ho Cho),장준(Joon Chang),김세규(Se Kyu Kim),장재우(Jae Woo Chang),정석훈(Suk Hoon Chung),김성규(Sung Kyu Kim),이원영(Won Young Lee) 대한내과학회 1990 대한내과학회지 Vol.39 No.3
N/A The positional effect on ear oximetry was studied in 39 patients with unilateral pleural effusion, 1) The mean values of oximetric SaO2, in the supine, sitting, normal side dependent, and effusion side dependent positions were 94.7±2.4, 96.7±2.4, 94.8±2.7, and 93.2±2.6%, respectively. Oximetric SaO2, values were highest in the sitting position and lowest in the effusion side dependent position. 2) The mean values of oximetric SaO2 in the sitting and normal side dependent positions were significantly higher than those in the effusion side dependent position in small and total pleural effusion (p<0,05). 3) Larger positional differences of oximetric SaO2 were found in patients with a small pleural effusion, 4) The mean values of oximetric SaO2, after aspiration were not significantly higher than those before aspiration (p>0.05). We suggest that the patients with a small pleural effusion has a higher SaO2, in the sitting and normal side dependent positions than that in the effusion side dependent position.
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