악성간암환자의 유전체자료 심볼릭 나무구조 모형연구

이태림,Lee, Tae Rim 한국데이터정보과학회 2014 한국데이터정보과학회지 Vol.25 No.5

본 연구에서는 악성간암환자의 생존기간에 영향을 주는 인자를 찾기 위하여 반응변수를 악성간암 환자의 생존을 임상변수의 정보와 SNP유전인자를 통합한 자료를 대상으로 이해하기 쉬운 나무구조 생존모형과 심볼릭자료분석을 실시하여 영향을 주는 유의한 인자 뿐 아니라 그 임계치를 구하여 임상적으로 유용한 결과를 찾아 임상에 적용하는 것이 목적이다. 악성간암환자의 임상자료를 계량화하여 통계적 예후진단 모형을 구함으로써 임상변수 간 숨겨진 변수간의 관계를 규명하고 생존기간 군에 따른 예측 분류모형을 구하여 현시적으로 진단후 예후에 영향을 주는 중요 임상변수와 유전체변수 그 임계치를 구하여 임상에서의 치료계획에 중요한 근거를 제시했다. 심볼릭데이터 분석 결과 정상, 만성 간염, 간염, 악성간염 등의 4개 군으로 구성된 1840명의 대상자를 분석 5 유전체의 20개 SNP가 밝혀진 바 있다. 즉 IL10-ht2가 악성간암의 발병에 매위 강한 관련이 있고 TGFB L10P-Prosms가 만성 간염 환자 중 악성간암 발생 위험을 줄여주는 유전체로 밝혀졌다. SNP변수와 질병군의 컴셉트 변수에 따라 상관정도를 원의 반지름 길이로 상대적으로 나타내 줌으로써 가장 판별력 있는 심볼릭변수를 상대적으로 비교할 수 있었다. 임상자료와 유전체자료를 통합하여 심볼릭 나무구조 생존모형을 구하여 생존기간을 군으로 한 나무구조모형을 유의한 변수와 기준치와 함께 구할 수 있었다. Symbolic data analysis extends the data mining and exploratory data analysis to the knowledge mining, we can suggest the SDA tree model on clinical and genomic data with new knowledge mining SDA approach. Using SDA application for huge genomic SNP data, we can get the correlation the availability of understanding of hidden structure of HCC data could be proved. We can confirm validity of application of SDA to the tree structured progression model and to quantify the clinical lab data and SNP data for early diagnosis of HCC. Our proposed model constructs the representative model for HCC survival time and causal association with their SNP gene data. To fit the simple and easy interpretation tree structured survival model which could reduced from huge clinical and genomic data under the new statistical theory of knowledge mining with SDA.

보건통계학 교육시 R의 활용에 대한 연구(1)

이태림 ( Tae Rim Lee ),장대흥 ( Dae Heung Jang ) 한국보건통계학회 2009 보건정보통계학회지 Vol.34 No.1

We can use R package as a statistical package on the health statistical education for college students. R is an interactive mode package and graphical presentation tools are powerful in R. The greatest advantage is that R is a general public license package. We need to consider R package as a standard statistical package on the health statistical education for college students.

블록체인 기반 이웃 간 에너지 거래에서의 조건형 개인정보 보호

이태림(Tae Rim Lee),신현우(Hyun Woo Shin),이범석(Beom Suk Lee),송재근(Jae Geun Song),장주욱(Ju Wook Jang) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2

본 논문은 이웃 간 에너지 거래를 블록체인 네트워크와 속성 기반 암호화를 응용하여 저장이 되는 모든 데이터를 암호화 함으로서 개인정보 유출과 같은 보안 문제를 해결하고 익명성을 높이는 것을 목적으로 한다. 먼저 블록체인 기반 에너지 거래와 속성 기반 암호화를 설명하고, 에너지 거래에서 제안 시스템을 적용한 방식과 그 절차를 설명하고 기존 방식과의 비교를 통해 기존의 문제를 해결할 수 있는 방법을 제시한다.

디지털 포렌식을 위한 증거 분석 도구의 신뢰성 검증

이태림(Tae-Rim Lee),신상욱(Sang Uk Shin) 한국정보보호학회 2011 정보보호학회논문지 Vol.21 No.3

본 논문에서는 TTAK.KO-12.0112 문서에 따른 컴퓨터 포렌식을 위한 디지털 증거 분석도구의 일반적인 검증 절차를 살펴보고, 제시된 검증 항목들을 이용하여 실제 증거분석 도구를 대상으로 기능 요구사항들을 테스트한다. 또한 테스트 내용을 바탕으로 대상 도구들에 대한 성능 평가를 수행하며, 각 도구들의 증거 분석 기능에 대하여 향후 성능 개선 방향을 제시한다. 이는 테스트 대상 도구가 수행 가능한 기능들을 파악하고, 요구사항 문서에서 제안된 검증 절차들을 활용하여 각 기능 별로 구체적인 모의 테스트를 설계한 후, 검증 항목의 내용을 포함시킨 가상의 증거 이미지 파일들을 생성하여 도구가 분석한 결과를 검증하고 해석한다. 이 과정을 통해 대부분의 도구들에서 단편화된 삭제 파일에 대한 복구, 국내에서 널리 사용되고 있는 파일 포맷 인식, 한글 문자열 처리 기능 등에 취약점이 존재함을 확인할 수 있다. In this paper, we examine the reliability verification procedure of evidence analysis tools for computer forensics and test the famous tools for their functional requirements using the verification items proposed by standard document, TTAK.KO-12.0112. Also, we carry out performance evaluation based on test results and suggest the way of performance improvement for evidence analysis tools. To achieve this, we first investigate functions that test subjects can perform, and then we set up a specific test plan and create evidence image files which contain the contents of a verification items. We finally verify and analyze the test results. In this process, we can discover some weaknesses of most of analysis tools, such as the restoration for deleted & fragmented files, the identification of the file format which is widely used in the country and the processing of the strings composed of Korean alphabet.

SNP 자료를 이용한 B형 간암환자의 만성간염으로부터 이행예측 심볼릭 나무구조 모형연구

이태림 ( Tae Rim Lee ) 한국보건정보통계학회(구 한국보건통계학회) 2012 보건정보통계학회지 Vol.37 No.1

Objectives: Using the new knowledge mining of symbolic data analysis which extends the data mining and exploratory data analysis, this paper would like to fitting the tree structured survival model on continuous response variable. Methods: Visualization with SDA clustering for hidden relationship of SNP for HCC, we can show the characteristics of data structure and produce the quantitative statistics for evaluation of validity and stability of clustering. We can confirm validity of application of SDA to the tree structured progression model to quantify the clinical lab data and SNP data for early diagnosis of HCC. Results: Our proposed model constructs the representative model for HCC survival time and with SNP gene data which contribute to promote the more healthy condition for old HCC patients. To fit the simple and easy interpretation tree structured survival model which could reduced from huge clinical and gene data under the new statistical theory of knowledge mining SDA. Conclusions: Using SDA analysis survival tree of HCC could be derived with clinical lab data and SNP data. The tumor type, TACE number, diuretics, encephalopathy results were significant clinical variable and IL6R_q1-24013, IL6_572, IL1B_p1_511, IL13_p_1055, IKB_p1_673, IL6R_p1_183, TNFA_p2_863, IFNG_q1_2459 were selected as a significant splitting variables.

유전자료를 이용한 악성 간암환자 나무구조 생존예측 모형연구

이태림 ( Tae Rim Lee ),이효석 ( Hyo Suk Lee ) 한국보건통계학회 2009 한국보건정보통계학회지 Vol.34 No.1

A tree-structured method for analyzing censored survival data is attractive for several reasons. The association between survival time and covariates is easy to interpret even if the covariates are numerous and there are interactions among them. Moreover a tree-structured method using gene expression data gives additional insight into the role of the covariates. Recent SNP data analysis makes it possible to find out large numbers of gene related with human cancers and to support accurate diagnosis of human cancers according to their several pathological judgements. The purpose of this study was designed to evaluate the prognosis of HCC in relation to treatment methods and their affecting gene and clinical factors by tree structured model. We could identify a feature set of 44 genes to distinguish the status of HCC and non-tumor liver tissues. Our proposed survival tree model shows the genes related with clinical, pathological data and risk factors of HCC. These findings could be available to predict prognosis of HCC and give valuable information to justify the treatment strategy for clinician.

보건통계학 교육시 R의 활용에 대한 연구(2)

이태림 ( Tae Rim Lee ),장대흥 ( Dae Heung Jang ) 한국보건정보통계학회 (구 한국보건통계학회) 2009 보건정보통계학회지 Vol.34 No.2

We can use R package as a statistical package on the health statistical inference education for college students. R is an interactive mode package and graphical presentation tools are powerful in R. The greatest advantage is that R is a general public license package. We need to consider R package as a standard statistical package on the health statistical inference education for college students.

연구논문 : 심폐소생술 불필요(DN(A)R) 동의 취득에 대한 전공의 의식조사

이태림 ( Tae Rim Lee ),신태건 ( Tae Gun Shin ),심민섭 ( Min Seob Sim ),조익준 ( Ik Joon Jo ),송형곤 ( Hyoung Gon Song ),송근정 ( Keun Jeong Song ),정연권 ( Yeon Kwon Jeong ),최병인 ( B. I Choe ) 한국의료윤리학회 2011 한국의료윤리학회지 Vol.14 No.3

This survey, which was conducted over the course of 3 months in 2009, was designed to investigate what the medical residents of one university hospital in Seoul think about DNAR orders. A total of 214 out of 468 residents (45.7%) answered the questionnaire. Participants were divided into two groups according to their experiences with taking DNAR order. There was no difference between the two groups on the definition of DNAR, its limitations, and when to issue DNAR orders. However, the two groups showed different opinions concerning who should be consulted in obtaining consent for DNAR and whether or not it was necessary to review DNAR orders. Residents who were experienced in giving DNAR orders felt more inclined to discuss the situation with the patient`s family members rather than the patient herself and thought that DNAR orders would not need to be reconsidered. These differences in opinion may result from the different experiences the two groups of residents had in actually ordering DNAR in the clinical setting. This study shows that more research and discussion is needed in order to establish the limitations and precise definition of DNAR orders.

Use of ICT for Open and Distance Learning in KNOU

이태림(Tae Rim Lee) 한국방송통신대학교 미래원격교육연구원 2012 평생학습사회 Vol.8 No.2

Korea National Open Universities have been utilized one-way instructional delivery system during the history of distance education from 1972. The isolation of students in their learning is the most important problem to solve in this one-way mode. ICT application like e-Learning or m-Learning is an alternative instructional model that makes available student to have more interaction with their instructor and peer, is more accessibility to multimedia learning resources than the traditional delivery system. On behalf of starting 4 departments online graduate school program e-Learning center had established and 2002, e-Learning hub site “e-Campus” was launched. From December 2008 KNOU kick off the mobile learning system under the MOU with Korean Telephone Company KT. In 2012 KNOU opened the new chapter of Smart Learning using KNOU applet of smart phone. Mobile technologies, like mobile devices and wireless internet services, have the potential to introduce new innovations in the area of education. This paper aims to share experiences from the process of ICT adaptation at KNOU open and distance learning with both national and international perspectives.

객체지향 및 동적연동 교육용 통계패키지 K-plot 개발

이정진,이태림,강근석,김성수,박헌진,이윤동,심송용,Lee, Jung Jin,Lee, Tae Rim,Kang, Gunseog,Kim, Sungsoo,Park, Heon Jin,Lee, Yoon-Dong,Sim, Songyong 한국통계학회 2013 응용통계연구 Vol.26 No.3

현대통계학은 많은 분야에서 사용되고 있으나 사용자들이 통계학적 개념을 이해하는데 어려움을 겪고 있다. 한편으로는 초등학생 때부터 줄기잎 그림이나, 비율자료의 원그림 등은 물론이고 평균과 같은 기술통계를 배우고 있다. 초등학교 고학년이나 중학교 저학년 학생들을 위한 직관적인 통계 패키지가 있다면 미래의 통계 사용자들인 이들 학생들이 통계적 개념을 이해하는데 많은 도움이 될 것이라고 생각하여 직관에 기초한 통계 패키지를 개발하였다. Modern statistics is used in many fields; however many users face difficulties in understanding statistical concepts. On the other hand, elementary school curriculum covers stem and leaf plot, pie chart, charts for proportional data as well as descriptive statistics including the mean. We find that an "intuitive" statistical package focused on 5-8 graders for statistical education will help future statistics users understand statistical concepts at earlier stages of their lives.