베이지안 망에 기초한 불임환자 임상데이터의 분석

정용규,김인철 한국정보처리학회 2002 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.9 No.5

Recommendation of Optimal Treatment Method for Heart Disease using EM Clustering Technique

정용규,김희완 국제문화기술진흥원 2017 International Journal of Advanced Culture Technolo Vol.5 No.3

This data mining technique was used to extract useful information from percutaneous coronary intervention data obtained from the US public data homepage. The experiment was performed by extracting data on the area, frequency of operation, and the number of deaths. It led us to finding of meaningful correlations, patterns, and trends using various algorithms, pattern techniques, and statistical techniques. In this paper, information is obtained through efficient decision tree and cluster analysis in predicting the incidence of percutaneous coronary intervention and mortality. In the cluster analysis, EM algorithm was used to evaluate the suitability of the algorithm for each situation based on performance tests and verification of results. In the cluster analysis, the experimental data were classified using the EM algorithm, and we evaluated which models are more effective in comparing functions. Using data mining technique, it was identified which areas had effective treatment techniques and which areas were vulnerable, and we can predict the frequency and mortality of percutaneous coronary intervention for heart disease.

한국과 일본의 순비기나무군강

정용규,Jung, Yong-Kyoo 한국생태학회 2000 Journal of Ecology and Environment Vol.23 No.5

A comparative analysis on the Viticetea rotundifoliae (coastal dune shrub vegetation) in South Korea and Japan was carried out. 569 releves from the most typical and homogeneous stands of the coastal dunes in South Korea and Japan were used. This study was accomplished by using the syntaxa and hierarchical system of the Viticetea rotundifoliae in South Korea and Japan according to the Zurich-Montpellier School's method, and syntaxonomy, synecology, syndynamics and syngeography between two countries were also compared with. Coastal dune shrub vegetation in South Korea and Japan were defined to the Viticetea rotundifoliae representing southern type coastal shrub in Northeast Asia. Coastal dune shrub communities of the Viticetea rotundifoliae in South Korea and Japan are considerably corresponded between the two, and contain their own characteristic syntaxa. Coastal dune shrub communities of the Viticetea rotundifoliae in Japan showed much diversification in syntaxa and species composition than those in South Korea. 한국과 일본의 해안사구에서 발달하고 있는 해안사구관목식생인 순비기나무군강에 대한 비교 연구가 수행되었다. 본 연구는 한국과 일본의 해안사구에서 조사된 569개의 균질한 releve를 이용하였다. 또한, 본 연구는 Z.-M. 방법에 의해 추출된 한국과 일본의 순비기나무군강의 각 단위식생과 식물사회학적 체계를 이용하였으며, 군락분류, 군락생태, 군락동태 및 군락지리에 대한 비교 분석으로 이루어졌다. 한국과 일본의 해안사구관목군락은 동북아시아의 남방형 해안사구관목군락을 대표하는 순비기나무군강에 귀속되었다. 그리고 한국과 일본의 순비기나무군강의 해안사구관목군락은 서로 대응관계를 나타내면서도 각각 고유의 군락을 포함하고 있는 것으로 밝혀졌다. 또한, 일본 순비기나무군강의 해안사구관목군락은 한국의 그것에 비해 식생단위 및 종조성에 있어 매우 다양함과 풍부함을 내포하고 있다.

Similarity Analysis of Hospitalization using Crowding Distance

정용규,최영진,차병헌 한국인터넷방송통신학회 2016 Journal of Advanced Smart Convergence Vol.5 No.2

With the growing use of big data and data mining, it serves to understand how such techniques can be used to understand various relationships in the healthcare field. This study uses hierarchical methods of data analysis to explore similarities in hospitalization across several New York state counties. The study utilized methods of measuring crowding distance of data for age-specific hospitalization period. Crowding distance is defined as the longest distance, or least similarity, between urban cities. It is expected that the city of Clinton have the greatest distance, while Albany the other cities are closer because they are connected by the shortest distance to each step. Similarities were stronger across hospital stays categorized by age. Hierarchical clustering can be applied to predict the similarity of data across the 10 cities of hospitalization with the measurement of crowding distance. In order to enhance the performance of hierarchical clustering, comparison can be made across congestion distance when crowding distance is applied first through the application of converting text to an attribute vector. Measurements of similarity between two objects are dependent on the measurement method used in clustering but is distinguished from the similarity of the distance; where the smaller the distance value the more similar two things are to one other. By applying this specific technique, it is found that the distance between crowding is reduced consistently in relationship to similarity between the data increases to enhance the performance of the experiments through the application of special techniques. Furthermore, through the similarity by city hospitalization period, when the construction of hospital wards in cities, by referring to results of experiments, or predict possible will land to the extent of the size of the hospital facilities hospital stay is expected to be useful in efficiently managing the patient in a similar area.

Decision Tree를 이용한 효과적인 유방암 진단

정용규,이승호,성호중 한국인터넷방송통신학회 2010 한국인터넷방송통신학회 논문지 Vol.10 No.5

최근 의료분야에서는 대규모의 데이터를 빠르게 검색 및 추출이 가능하게 의사결정트리 기법에 대한 연구들이 진행되고 있다. 현재 CART, C4.5, CHAID 등 여러 기법이 개발되었는데, 이러한 클레시파이 기법들은 몇몇 의사결정 나무 알고리즘이 이진분리로 분류를 하는데, 나머지 데이터의 결과가 손실될 우려가 있다. 그중 C4.5는 엔트로피의 측정값에 높고 낮음으로 트리 모양을 구성해 가는 방식이고, CART 알고리즘은 엔트로피 매트릭스를 사용하여 범주형 자료나 연속형 자료에 적용할수가 있다. 이에 본 논문에서는 클래시파이 기법 중 C4.5와 CART를 유방암 환자 데이터에 대해 적용하여 실험하여, 그 결과 분석을 통한 성능 평가를 수행하였다. 실험에서는 교차검증을 통해 그 결과에 대한 정확성을 측정하였다. Recently, decision tree techniques have been studied in terms of quick searching and extracting of massive data in medical fields. Although many different techniques have been developed such as CART, C4.5 and CHAID which are belong to a pie in Clermont decision tree classification algorithm, those methods can jeopardize remained data by the binary method during procedures. In brief, C4.5 method composes a decision tree by entropy levels. In contrast, CART method does by entropy matrix in categorical or continuous data. Therefore, we compared C4.5 and CART methods which were belong to a same pie using breast cancer data to evaluate their performance respectively. To convince data accuracy, we performed cross-validation of results in this paper.

원격의료 규제개선의 방향

정용규 대한전자공학회 2016 전자공학회지 Vol.43 No.2

Correlation Analysis of the Frequency and Death Rates in Arterial Intervention using C4.5

정용규,정성준,차병헌 한국인터넷방송통신학회 2017 Journal of Advanced Smart Convergence Vol.6 No.3

With the recent development of technologies to manage vast amounts of data, data mining technology has had a major impact on all industries.. Data mining is the process of discovering useful correlations hidden in data, extracting executable information for the future, and using it for decision making. In other words, it is a core process of Knowledge Discovery in data base(KDD) that transforms input data and derives useful information. It extracts information that we did not know until now from a large data base. In the decision tree, c4.5 algorithm was used. In addition, the C4.5 algorithm was used in the decision tree to analyze the difference between frequency and mortality in the region. In this paper, the frequency and mortality of percutaneous coronary intervention for patients with heart disease were divided into regions

진주 선비 회와晦窩 조병희曺秉憙 선생先生

정용규 남명학연구원 2017 선비문화 Vol.31 No.-

한반도 해안임연군락의 분포특성

정용규,김원,Jung, Yong-Kyoo,Kim, Woen 한국생태학회 2000 Journal of Ecology and Environment Vol.23 No.3

우리나라의 해안사구에 분포하고 있는 해안임연군락의 분포특성에 관한 연구가 수행되었다. 본 연구는 전추정법에 의해 이미 추출된 우리나라 해안임연군락의 단위식생 및 식물사회학적 체계를 토대로 이루어졌으며, 분류된 각 단위식생들에 대한 분포특성 분석은 각 단위식생으로 합성된 조사구의 위도와 온도를 이용하여 수행되었다. 우리나라 해안임연군락의 분포는 해당화군락, 순비기나무군락, 순비기나무-해란초군집, 순비기나무-돌가시나무군집 및 순비기나무-띠군집의 순으로 북쪽에서 남쪽으로 분포하고 있으며, 각 단위식생들의 연속 분포와 중첩 분포의 경향성이 인정되었다. 그리고 한반도의 해안임연군락에 대한 분포유형 결정은 일본, 북한 및 중국의 해안임연식생에 대한 식생학적, 지리적 및 생물기후학적 정보가 필수적인 것으로 판단되었다. The research about distributional characteristics of coastal mantle communities in South Korea was accomplished. This study was carried out by direct analysis of the latitude and temperatures of each releve site on the basis of syntaxonomy and hierarchical system of coastal mantle communities which was already obtained from Zurich-Montpellier School's method. The distribution of coastal mantle communities in South Korea appeared from North to South in the order of Rosa rugosa community, Vitex rotundifolia community, the Linario-Viticetum rotundifoliae, the Roso-Viticetum rotundifoliae and the Imperato-Viticetum rotundifoliae, and it was recognized that tendencies of continuous and overlapped distribution pattern in adjacent syntaxa. Consequently, It is suggested that the syntaxonomical, geographical and bioclimatic informations of Japan, North Korea and China are essential to determine the distributional patterns of coastal mantle communities in Korean Peninsula.

환자중심서비스를 위한 온톨로지 기반의 u-Healthcare 시스템

정용규,이정찬,장은지,Jung, Yong Gyu,Lee, Jeong Chan,Jang, Eun Ji 서비스사이언스학회 2012 서비스연구 Vol.2 No.2

U-Healthcare는 홈 네트워크, 휴대용 장치 등에 기반한 정보통신기술과 의료시스템이 서로 융합되어 개인의 생체정보 등을 실시간으로 모니터링하고, 자동으로 병원 및 의사와 연결되어 시공간의 제약을 줄임으로써 언제 어디서나 건강을 관리하고 질병을 예방하는 새로운 형태의 의료서비스이다. 본 논문에서는 진료 중심에서 예방 중심으로 변화되어가고 있는 최근의 U-Healthcare 시스템의 기술 발전 추세에 맞추어 조기 대응이 가능한 Healthcare 정보시스템 구축을 위한 요구분석 사항들에 대해 정리하고, 이를 기반으로 u-Healthcare의 실현을 위한 기존의 단위 시스템인 PACS, OCS, EMR, 응급의료시스템을 통합한 환자중심의 클라이언트 시스템을 설계한다. 특히, 온톨로지는 특정분야의 정보 모델에 이용되어 그 분야에서 공통의 어휘를 제공하고, 그 용어의 의미와 용어간의 관계를 다양한 수준의 형식성을 가지고 제공한다. 본 논문에서는 이러한 온톨로지 및 무질서한 데이터에 대한 관계를 정의하고, 보다 체계적으로 데이터를 군집화하는 클러스터링의 개념을 포함한 환자중심의 서비스를 위한 온톨로지 기반의 시스템을 제안한다. U-healthcare is real-time monitoring of personal biometric information using by portable devices, home network and information and communication technology based healthcare systems, and fused together automatically to overcome the constraints of time and space are connected with hospitals and doctors. As u-healthcare gives health service in anytime and anywhere, it becomes to be a new type of medical services in patients management and disease prevention. In this paper, recent changes in prevention-oriented care is analyzed in becoming early response for Healthcare Information System by requirements analysis for technology development trend. According to the healthcare system, PACS, OCS, EMR and emergency medical system, U-healthcare is presenting the design of a patient-centered integrated client system. As the relationship between the meaning of the terms is used in the ontology, information models in the system is providing a common vocabulary with various levels of formality. In this paper, we propose an ontology-based system for patient-centered services, including the concept of clustering to clustering the data to define the relationship between these ontologies for more systematic data.