• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.403-404
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• 2014

원 업무 효율성을 높이기 위해 최근 다양한 병원 정보 시스템들이 도입되어 왔다. 이러한 시스템들을 통해 병원에서는 다양한 데이터를 전자적인 형태로 기록하고 공유하고 있으나, 이러한 데이터들은 일반적으로 간단한 통계량을 집계하는 데에만 사용되고 있어, 보다 체계적인 방법으로 병원 운영 관리에 유용한 숨겨진 지식이나 패턴을 추출하는 방법이 필요하다. 이에 본 논문에서는 기존 병원 정보 시스템들에 의해 축적되어진 환자 이력 데이터를 분석하여 임상 서비스 프로세스 모형을 추출하는 방법을 제안한다. 환자 이력 데이터는 검사나 처방 등을 실시한 기록을 포함하는데, 일반적으로 구조가 복잡하고 데이터 소스가 분산되어 있어 단순한 방법으로 분석하는 것이 까다롭다. 따라서, 본 논문에서는 먼저 단순한 형태의 프로세스 모형을 생성하고 이를 확장해나가는 단계적인 분석 방법을 소개한다. 이러한 목적을 위해 적절한 데이터 전처리, 데이터 마이닝, 프로세스 마이닝 기법 등이 활용되었으며, 제안하는 방법을 실제 류머티스과 환자 이력 데이터에 적용하여 임상 서비스 프로세스 모형을 추출할 수 있었다.

• 대한두경부종양학회:학술대회논문집
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• 1997.11a
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• pp.297.3-298
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• 1997

• The Korean Journal of Applied Statistics
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• v.21 no.1
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• pp.35-51
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• 2008

Comparative studies in Phase III clinical trials quite often involve two or more equally important endpoints, and one cannot select primary endpoint from them. O'Brien(1984) proposed for continuous endpoints the OLS and GLS statistics as milti-variate test statistics. Pocock et al. (1987) mentioned the possibility of analyzing a mixture of data types, such as quantitative, binary and survival data types, with the OLS and GLS statistics, but the authors did not explore problems in combining several endpoints of different types. Furthermore, they did not perform a simulation study to assess the efficiencies of the OLS and GLS statistics for endpoints of a mixture of data types. In this paper, we propose the combining methods of correlated P-values for the analysis of multiple endpoints, and compare the efficiencies of this method with those of OLS and GLS statistics for a mixture of data types with a simulation study. Among the several methods of combining P-values that are more advantageous than combining of OLS and GLS statistics, method B maintains nominal significance levels and is more efficient, while method F and G have type I error rates that are larger than the specified significance levels, which might occasionally lead to a wrong conclusion.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.901-904
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• 2015

본 논문에서는 사진의 태그정보 및 통계정보, 사용자 평점을 이용하여 여행에 앞서 본인의 취향 등에 맞는 개인화 된 여행계획을 생성할 수 있도록 지원하는 연구를 진행하였다. 개인화 된 여행계획의 자동생성을 위하여, 나이, 성별, 직업, 소득, 학력에 따라 선호하는 여행의 태마를 통계자료를 통해 구분하였고, 사진의 태그정보를 이용하여 사용자가 가장 선호하는 테마를 분별하여 개인화 할 수 있도록 하였다. 이렇게 구분된 태마는 다양한 포털사이트에 등록된 사용자 평점 정보를 토대로 하여 여행계획을 생성하여 사용자에게 제공할 수 있도록 하였다.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.99-108
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• 2021

To determine clinical nursing instructors' teaching efficacy, students' clinical practice satisfaction, and confirm between correlation, and develop a plan for operating nursing education efficiently for clinical practice. Clinical practice could create an optimal learning situation. We applied CNITEs and CPS to measure clinical nursing instructor teaching efficacy and clinical practice satisfaction. The differences in teaching efficacy by the general characteristics were measured and analyzed; the higher the level of the participants' education, position, clinical career, and clinical teaching career, the higher their teaching efficacy. The higher the age at clinical practice, the higher the clinical efficacy of clinical practitioners with clinical career and higher education level students were more satisfied with the practice subject and nursing instruction than other categories. Therefore, in order to increase the satisfaction of nursing students' practice in the clinical field, we hope to improve various things that can be used not only teaching efficacy but also in clinical practice satisfaction.

• Journal of the Korean Data and Information Science Society
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• v.25 no.1
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• pp.27-36
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• 2014

Statistical analysis provides information that can be applied to draw final decisions in many fields. However, statistical analysis program for PC (personal computer) is yet restricted by time and space. To minimize this issue, a server based PC statistic analysis program using internet in addition to web based system allowing statistical analysis have been continually developed. However, the current web based analysis system is limited to the data that is saved on the server. Data that is modified or newly inserted must go through a server administrator before its use in analysis. In order to solve this problem, we have developed a web based system using HTML, java, JSP scripts to incorporate dynamic data without much restriction.

• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.191-198
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• 2012

Statistical analysis is a process which produces information based on data gathering and summary for final decision. In various application fields, we obtain information which supports final decision using statistical analysis. But statistical software program in PC (personal computer) is restricted by time and space. So web based system which can be used in web browser has been developed to minimize these restrictions. To overcome these restrictions, we have developed web based system for statistical analysis without a particular software.

• Childhood Kidney Diseases
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• v.13 no.1
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• pp.49-55
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• 2009

Purpose : We aimed to compare the frequency of positive repeat urine cultures 48 hours after antimicrobial treatment between anatomically normal and abnormal urinary tract Infection (UTI) groups to determine the potential clinical usefulness of the tests. Methods : We reviewed medical records of 930 patients under age 14, who had been admitted for UTI at Gyeongsang National University Hospital from January 1, 1998 to August 1, 2008. The eligible patients were divided into two groups the anatomically normal UTI group and the anatomically abnormal UTI group. Statistical analyses were performed with variables consisting of the sex ratio, age distribution and the frequency of positive repeat urine cultures of each group. Results : The sex ratio of the anatomically normal UTI group was M:F=1.9:1, whereas that of the anatomically abnormal UTI group was M:F=3.5:1 (P=0.019). For age distribution, it was found that the mean age of the anatomically normal UTI group was $0.82{\pm}1.83$ years, whereas that of the anatomically abnormal UTI group was $1.18{\pm}2.57$ years (P=0.113). The frequency of positive repeat urine cultures in the anatomically normal UTI group was 3/279 (1.1%), whereas that of the anatomically abnormal UTI group was 1/90 (1.1%) (P=0.675). Conclusion : We conclude that performing a repeat urine culture is not justified in terms of clinical usefulness, and it is unreasonable to use the results as an index of therapeutic success. A follow-up urine culture is unnecessary in patients with both the anatomically normal and abnormal UTI group.

• Journal of the Korean Society of Food Science and Nutrition
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• v.31 no.6
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• pp.1011-1017
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• 2002

The aim of this study was to investigate nutrition education effect in the long term and short term nutrition education intervention for childhood obesity. Seventy-seven obese children aged seven to twelve who visiting obesity clinic in a university hospital were given nutrition education therapy. Long-term as well as short-term education effect had been measured based on reducing level of Body Mass Index (BMI), Relative Body Weight (RBW) and lipid profile as well as dietary behavior. Identification of factors influencing the effect of nutrition education had been tested using multiple regression analysis as well as Main Whitney test. The result showed that nutrition education intervention had a significant impact on reducing the level of BMI, RBW and lipid profile during long term and short term period. Duration of clinic visit and total number of clinic visit were the most significant factors for the short term effect for obesity treatment. However, frequent clinic visit per month was not significant factor on short term effect. Therefore sustained participation for nutrition education by the obese individual seems more important factors than other factors especially for short term effect. Although, there was the tendency of reducing weight with longer duration and frequent clinic visit, and changing health behavior, none of the factors showed statistically significant effect on the long term effect for the obesity treatment. The results may imply that more complex factors involved for the long term treatment of childhood obesity than short term treatment.

• The Korean Journal of Applied Statistics
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• v.1 no.2
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• pp.45-60
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• 1987

Deciding whether a certain cancer patient is suffering from a bone marrow metastasis is quite essential to clinicians. To find a set of explanatory variables of the bone marrow metastasis, we employed the logistic regression analysis on 60 cancer patients with bone marrow metastasis (the case group) and 41 cancer patients without bone marrow metastasis (the control group). These data shown in Append were collected retrospectively from the record of Severance Hospital of Yonsei University College of Medicine from January, 1977 to December, 1985. We could establish a set of decision rules of the bone marrow metastasis specially designed for clinicians based on the explanatory variables of the best fitting logistic regression equation. We also compute the specifity and the sensistivity of our decision rules.