• Journal of Korean Society of Archives and Records Management
• /
• v.23 no.4
• /
• pp.73-89
• /
• 2023

This study aims to analyze the frequency of keywords used in Korean abstracts, which are unstructured text data in the domestic record management research field, using text mining techniques to identify domestic record management research trends through distance analysis between keywords. To this end, 1,157 keywords of 77,578 journals were visualized by extracting 1,157 articles from 7 journal types (28 types) searched by major category (complex study) and middle category (literature informatics) from the institutional statistics (registered site, candidate site) of the Korean Citation Index (KCI). Analysis of t-Distributed Stochastic Neighbor Embedding (t-SNE) and Scattertext using Word2vec was performed. As a result of the analysis, first, it was confirmed that keywords such as "record management" (889 times), "analysis" (888 times), "archive" (742 times), "record" (562 times), and "utilization" (449 times) were treated as significant topics by researchers. Second, Word2vec analysis generated vector representations between keywords, and similarity distances were investigated and visualized using t-SNE and Scattertext. In the visualization results, the research area for record management was divided into two groups, with keywords such as "archiving," "national record management," "standardization," "official documents," and "record management systems" occurring frequently in the first group (past). On the other hand, keywords such as "community," "data," "record information service," "online," and "digital archives" in the second group (current) were garnering substantial focus.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.5 no.1
• /
• pp.86-96
• /
• 1999

Effectiveness of the videotaped-record learning method in teaching intramuscular injection skill was investigated using an experimental research methodology. Data was collected from 57 female students attending Fundamental nursing class from two depts. of nursing in Chung-ju and Seoul. The subjects were assigned to two groups, the experimental group of 30 and the control group of 27. The independent variable was videotaped-record learning method and the dependent variable were the degree of knowledge achivement, nursing skill achivement, competence on practicing intramuscular injection skill and satisfaction about the learning method. Data was analyzed using descriptive statistics, chi-square test, t-test and Pearson's correlation coefficient with SPSS-PC program. The results were summarized as follows ; 1. There was statistically significant difference between the experimental group and control group in knowledge achievement about intramuscular injections (t=4.721, P=.000). 2. There was statistically significant difference between the experimental group and control group in nursing skill achievement(t=3.542, P=.001). 3. There was no statistically significant difference between the experimental group and control group in competence on practicing intramuscular injection skill (t=.627, P=.533). 4. There was statistically significant difference between the experimental group and control group in satisfaction about learning method(t=4.708, P=.000). 5. There was significant correlation between nursing skill achievement and knowledge achievement(r=.233, p<.05). In conclusion, this study suggests that videotaped-record learning method is an effective learning method for achieving intramuscular injection skill as a basic nursing skills. Therefore, further study with more developed research design and other fundamental nursing skill practice will be needed to investigate the effectiveness of videotaped-recored learning method.

• Communications for Statistical Applications and Methods
• /
• v.8 no.2
• /
• pp.557-564
• /
• 2001

The objective of he study is to record the real conditions along with the soccer ball that is, each player's ball keeping time, the number football keeping, accuracy of passing to other player, direction, etc., on a real-time basis, measure them in numbers and get necessary analyzed output as much as one needs. The study consists of the following stages: (1) Record the data by drawing through Visual Interface on a real-time basis; (2) Graphic windows to display the recorded data item by item in graphic; (3) Form windows to display the individual or team scores anytime when needed; (4) Windows to display the analyzed data in visualized form. The effect of the study is threefold: (1) It inputs all the game-related data on a real-time basis, which was impossible before and shows analyzed contents during the game enabling each tea manager o use; (2) In cse of TV broadcasting or newspaper articles, it explains objectively the situations of he game to the TV viewers or readers; (3) After the game, it provides importance information on each team's playing ability and individual player's technical improvement through data analysis.

• Communications for Statistical Applications and Methods
• /
• v.16 no.1
• /
• pp.1-11
• /
• 2009

When micro data are released to users, record by record data are disclosed and the disclosure risk of respondent's information is inevitable. Statistical disclosure control techniques are statistical tools to reduce the risk of disclosure as well as to increase data utility in case of data release. In this paper, we reviewed the concept of disclosure and disclosure risk as well as statistical disclosure control techniques and then investigated selection strategies of a statistical disclosure control technique related with data utility. The risk-utility frontier map method was illustrated as an example. Finally, we listed some check points at each step when microdata are released.

• Quality Improvement in Health Care
• /
• v.9 no.1
• /
• pp.52-64
• /
• 2002

Background : Coding of principal diagnosis is essential component for producing reliable health statistics. We performed this study to evaluate the current practice of principal diagnoses determination and coding, and to give some basic data to improve coding of principal diagnosis. Method : Nineteen medical record administrators (MRAs) of 3 university hospitals participated in coding principal Dx. from August 1, 2001 to August 31, 2001. From each hospital, 10 medical records of patients with high frequency disease were selected randomly. Each 10 medical records were grouped into three (A. B, C). Then, these 30 medical records were given to each MRAs for coding. At the same time questionnaire was given to each of them. Questions were to prove how they decide and code the principal diagnosis among many current diagnoses; how they decide and code the principal diagnosis when they see irrelevant diagnosis recorded as the principal diagnosis in medical record, when only tentative diagnoses were recorded without final diagnosis, and when different diagnoses were recorded in different sheets of same record. Agreement of coding among 3 hospitals were compared and survey results were analysed with SAS 6.12. Results : Agreement of coding was found in medical records 5-6 of each 10 medical records. Causes of disagreement were as follows. Difference of clinician's opinion from each hospital; mixed use of guideline from KCD-3 and guideline from DRG; difference in 4th digit classification according to the absence of pathology report in the medical record; difference of abbreviations among hospitals. 57.9% of MRAs selected the principal diagnosis recorded by physician, 42.1% of MRAs decided principal diagnosis after consulting to KCD-3 guideline. When there were difficulties in determining the principal diagnosis, 42.1% of MRAs decided principal diagnosis after discussion with the physician, 26.3% after discussion with fellow MRAs. Conclusion : There were differences in codings among hospitals. To minimize the difference, we suggest the development of disease-specific guidelines for coding in addition to the current general guideline such as KCD-3. To do this, Coding Clinic which can produce guidelines is needed.

• Communications for Statistical Applications and Methods
• /
• v.18 no.1
• /
• pp.103-110
• /
• 2011

Exponential distribution is widely adopted as a lifetime model. Many authors have considered the interval estimation of the parameters of two-parameter exponential distribution based on complete and censored samples. In this paper, we consider the interval estimation of the location and scale parameters and the joint confidence region of the parameters of two-parameter exponential distribution based on upper records. A simulation study is done for the performance of all proposed confidence intervals and regions. We also propose the predictive intervals of the future records. Finally, a numerical example is given to illustrate the proposed methods.

• Communications for Statistical Applications and Methods
• /
• v.21 no.6
• /
• pp.521-528
• /
• 2014

A stochastic Gompertz diffusion model for tumor growth is a topic of active interest as cancer is a leading cause of death in Korea. The direct maximum likelihood estimation of stochastic differential equations would be possible based on the continuous path likelihood on condition that a continuous sample path of the process is recorded over the interval. This likelihood is useful in providing a basis for the so-called continuous record or infill likelihood function and infill asymptotic. In practice, we do not have fully continuous data except a few special cases. As a result, the exact ML method is not applicable. In this paper we proposed a method of parameter estimation of stochastic Gompertz differential equation via Markov chain Monte Carlo methods that is applicable for several data structures. We compared a Markov transition data structure with a data structure that have an initial point.

• Journal of Korean Society for Geospatial Information Science
• /
• v.1 no.2 s.2
• /
• pp.131-141
• /
• 1993

This paper describes the development of SIMS. SIMS provides not only the basic functions, such as input and output of outside plant maps and facility status statistics report, which are the major function of TOMS, but also can manage outside plant facilities and subscriber information integrately to maximize the efficiency of large outside plant facility database and to increase the qualify of subscriber service. SIMS provides following functions: Work order generation for telephone installation; Automatic cable pair assignment; Cable tracing and unused pair management; Subscriber record management and statistics report generation; Subscriber address information management.

• The Korean Journal of Applied Statistics
• /
• v.36 no.5
• /
• pp.361-380
• /
• 2023

Magnetoencephalography (MEG) is a technique to record oscillatory magnetic fields coming from ongoing neuronal activity. Functional brain activities performing cognitive or physiological tasks are performed on structural connections between neurons or brain regions. MEG data can be characterized as highly correlated, spatio-temporal, multidimensional, multilayered dynamic networks. Due to its complex structure, many studies on MEG network have not yet been conducted. In this study, we will explain the concept, necessity, and possible approaches of MEG network analysis. We reviewed the characteristics of MEG data. Network measures and potential network models in MEG and clinical studies are also reviewed.

• Convergence Security Journal
• /
• v.7 no.3
• /
• pp.51-60
• /
• 2007

Infinite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, exponential distribution and Rayleigh distribution model was reviewed, proposes the mixture reliability model, which made out efficiency substituted for situation for failure time Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using S27 data set for the sake of proposing shape parameter of the mixture distribution was employed. This analysis of failure data compared with the mixture distribution model and the existing model(using arithmetic and Laplace trend tests, bias tests) is presented.