• 한국응급구조학회지
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• 제25권2호
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• pp.19-38
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• 2021

Purpose: This study aimed to investigate the relationship between emergency medical service accessibility in different regions and the sudden death rate in elderly patients with ischemic heart disease using data analysis techniques and suggest improvements in regional emergency medical services. Methods: The study collected data from the NEDIS database and Statistics Korea. Data on a total of 75,867 patients aged ≥65 years were reviewed among patients with ischemic heart disease who visited emergency medical institutions in 2018. Frequency analysis, chi-square test, multiple logistic regression analysis, and simple logistic regression analysis were performed using SPSS PC Window 25.0. Results: With an emergency medical resource per 100km², there was a concomitant reduction in the risk of death. There was a decrease in the death rate by 0.967, 0.970, 0.997, and 0.391 times with the increase in the presence of a fire department, an ambulance, a paramedic, and a regional medical center, respectively. Furthermore, a decrement in the death rate was witnessed 0.844, 0.825, and 0.975 times with the initiation of a local emergency medical center, a local emergency medical institution, and an angiography device, respectively(p <.001). Conclusion: To improve the accessibility of emergency medical services, the population and geometric area of the region should be considered essential factors when deploying emergency medical resources.

• 응용통계연구
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• 제30권3호
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• pp.487-501
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• 2017

최근 산업의 생산공정에서는 머신비전시스템을 통하여 제품의 품질특성치에 대한 정보를 이미지 데이터로 제공하는 경우가 많다. 따라서 산업과 의학 현장에서 이미지 데이터의 모니터링을 위해 관리도 절차의 필요성이 많이 대두되고 있다. 이미지 데이터를 모니터링하는 관리도 절차는 전통적으로 사용하는 관리도 절차와 유사한 점도 있지만, 데이터의 구조를 비롯하여 각 이미지에서 ROI를 설정하여 관리도 절차를 적용하는 등 서로 다른 점도 많이 있다. 이 논문에서는 생산공정에서 제공되는 이미지 데이터에 대해 관리도를 사용하는 절차를 소개하고, 이미지 또는 ROI 크기의 확대와 축소가 제품의 이상원인을 탐지하는데 어떠한 영향이 주는지를 모의실험을 통하여 알아보았고 각 관리도의 성능 또한 비교하였다.

• Journal of the Korean Data and Information Science Society
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• 제25권2호
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• pp.317-325
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• 2014

최근 들어 연구자의 연구능력평가와 함께 학술지의 내용과 질적 수준에 대한 평가가 중요한 이슈가 되고 있다. 본 연구는 한국데이터정보과학회지를 중심으로 통계학 관련 국내 학술지들이 어떠한 수준의 영향력을 가지고 있는지를 다양한 KCI 인용지수를 이용하여 비교해보고, 상호인용 빈도를 활용하여 학술지 간 연결망을 사회네트워크분석 관점에서 조망해 보았다. 그 결과 다음을 알 수 있었다. 첫째, 자기인용비율이 비교적 높은 것으로 나타났다. 둘째, 수학, 물리학, 화학에 비하여 통계학 관련 학술지들의 영향력지수는 높은 것으로 나타났으나, 타 학술지들에서 통계학 관련 학술지들을 인용한 빈도는 높지 않았다. 셋째, 한국데이터정보과학회지의 경우 연결망분석에서 중심적인 위치를 차지하고 있으나, 노력의 여지는 있어 보인다.

• Korean Journal of Acupuncture
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• 제30권1호
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• pp.1-8
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• 2013

Objectives : The purpose of the present study was to examine statistical methods used in articles published on the Korean Journal of Acupuncture from 2007 through 2012. Methods : Statistical methods and statistical packages used in original articles applied with descriptive statistics or inferential statistics were organized. Results : Out of a total of 195 original articles, 18 articles used descriptive statistics only and 177 articles used inferential statistics. 142 articles used 12 types of statistical packages. SPSS was used most at 97 times(63.4%). The number of descriptive statistical methods used was a total of 417 and among them 193 were presented as tables(46.3%) and 224 were presented as graphs(53.7%). The number of inferential statistics applied was a total of 256 and analysis of variance was used most at 90 times(35.2%). The number of parametric statistical methods used was a total of 170(75.6%) and that of nonparametric statistical methods used was a total of 55(24.4%). Analysis of variance and two sample t-test were most employed in both clinical and non-clinical research. The number of multiple comparison methods applied was a total of 67 and the number of Scheffe methods among them was most at 26 times(37.7%). Conclusions : In the present study, statistical methods used in the journal over the last six years were examined. The result of this study is considered to be a basic material to be referred to when evaluating the quality of the medical journal.

• 한국인구학
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• 제5권1호
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• pp.167-186
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• 1982

Financial barrier is well known as a determinant of the perceived need for and utilization of medical care in urban areas. This study aims to; a) estimate the levels of the perceived need for and utilization of medical care, b) analyze the reasons for not receiving medical care, and c) determine factors affecting the levels of need and utilization, and major reasons for not receiving medical care. The data of household interview survey in urban areas collected for a National Survey on Reorganization of Nationwide Health Care Delivery Network is used. An interview was conducted with a total of 2, 538 households in urban areas during a 28 day period of October through November, 1981, giving an overall response rate of 99 percent. The results show a factor of third-party payer is most influential to utilization (physician visits by patient), and living standard is a determinant to explain the variance of major reasons for not receiving medical care. Therefore, financial burden is still a major determent in utilization of medical care in urban areas. Improved level of living standard and expanded coverage of the third-party payer such as health insurance and public medical assistance will increase both an overall levels of utilization of and the need for medical care in urban areas in the future. The major statistics are as follows; a) rate of the need for medical care during a 15 day period per 100 persons was 33 percent: the differential rates appeared in sex, age, living standard, and third- party payer variables, b) percent of treatment employed per 100 persons who are wanting medical care was 82: the percents were high in young ages, high levels of living standard and education, and persons covered by third-party payer, and c) economic reasons for not receiving medical care per 100 persons who are wanting medical care were occupied with 60 percent: the rates are high in old ages, low levels of living standard and persons not covered by third-party payer.

• Journal of the Korean Data and Information Science Society
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• 제16권3호
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• pp.515-527
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• 2005

The data mining is a new approach to extract useful information through effective analysis of huge data in numerous fields. We utilized this data mining technique to analyze medical record of 39,900 people. Whole data were separated by gender first and divided into three groups, including normal, stage 1 hypertension, and stage 2 hypertension. The data from each group were analyzed with data mining technique. Based on the result that we have extracted with this data mining technique, major risk factors for the hypertension are age, BMI score, family history.

• Communications for Statistical Applications and Methods
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• 제12권1호
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• pp.217-227
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• 2005

The data mining is a new approach to extract useful information through effective analysis of huge data in numerous fields. We utilized this data mining technique to analyze medical record of 35,671 people. Whole data were assorted by BMI score and divided into two groups. We tried to find out BMI risk factor from overweight group by analyzing the raw data with data mining approach. The result extracted by C5.0 decision tree method showed that important risk factors for BMI score are triglyceride, gender, age and HDL cholesterol. Odds ratio of major risk factors were calculated to show individual effect of each factors.

• 기본간호학회지
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• 제21권3호
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• pp.264-274
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• 2014

Purpose: This study was done to determine inpatient fall rates in an acute hospital setting and to explore risk factors and characteristics across clinical departments. Methods: The medical records and standardized fall reports of 416 patients admitted between January 1 and December 31, 2012 were reviewed. Descriptive statistics and statistical tests were used, including: t-test, ${\chi}^2$-test, ANOVA. Results: The total fall rate per 1,000 inpatient days was 0.49. Fall rate, fall risk factors and characteristics such as age, type of fallers and mean MFS (Morse Fall Scale) differed significantly among clinical departments. Conclusions: The analysis results show that the fall rates, fall risk factors and characteristics of acute hospital inpatient falls varied significantly across clinical departments. The findings of this study suggest that hospitals should consider differences in fall related characteristics across clinical departments when implementation fall prevention strategies and interventions.

• 임상간호연구
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• 제24권3호
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• pp.363-370
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• 2018

Purpose: The study was conducted to investigate correlations between self-management and physiological measurements of patients on hemodialysis according to their age. Methods: The subjects were 120 patients on hemodialysis at three hospitals in S and G cities. Data were collected using a structured questionnaire and medical records. The collected data were analyzed using descriptive statistics including t-test, ANOVA, and Pearson's correlation analysis with the SPSS 23.0 program. Results: The levels of compliance with self-management were highest in the middle-aged group. There was no significant difference in physiological measurements between the different age groups. Conclusion: The results suggest that nurses should consider characteristics of different age groups to improve the levels of self-management and physiological measurements.

• 한국컴퓨터정보학회논문지
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• 제24권5호
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• pp.131-137
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• 2019

This study was aimed to identify a study on risk perception and safety knowledge and awareness of scuba diver. In order to achieve this purpose, a total of 310 customers over the age of 20 were selected as study participants form diving pools and dive resort in Seoul, Gyeonggi, Gangwon, Gyeongsang area using the convenience sampling method. However, only data from 295 customers were used after screening the data for reliability. The instrument for data collection was a questionnaire, and descriptive statistics, inter-item consistency reliability, t-test, ANOVA, post hoc test, correlation analysis, pearson chi-square test were conducted on the data using the SPSS 21.0 version statistical package program. The followings are the results: First, risk perception differs significantly according to age, education level, occupation and participation period. Second, participation period and safety knowledge have positive correlation.