• Journal of Preventive Medicine and Public Health
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• v.31 no.3 s.62
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• pp.471-480
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• 1998

This study was undertaken in order to estimate the accuracy of disease code of the Korean National Medical Insurance Data and disease the characteristics related to the accuracy. To accomplish these objectives, 2,431 cases coded as notifiable acute communicable diseases (NACD) were randomly selected from 1994 National Medical Insurance data file and family medicine specialists reviewed the medical records to confirm the diagnostic accuracy and investigate the related factors. Major findings obtained from this study are as follows : 1. The accuracy rate of disease code of NACD in National Medical Insurance data was very low, 10.1% (95% C.I. : 8.8-11.4). 2. The reasons of inaccuracy in disease code were 1) claiming process related administrative error by physician and non-physician personnel in medical institutions (41.0%), 2) input error of claims data by key punchers of National Medical Insurer (31.3%) and 3) diagnostic error by physicians (21.7%). 3. Characteristics significantly related with lowering the accuracy of disease code were location and level of the medical institutions in multiple logistic regression analysis. Medical institutions in Seoul showed lower accuracy than those in Kyonngi, and so did general hospitals, hospitals and clinics than tertiary hospitals. Physician related characteristics significantly lowering disease code accuracy of insurance data were sex, age group and specialty. Male physicians showed significantly lower accuracy than female physicians; thirties and fortieg age group also showed significantly lower accuracy than twenties, and so did general physicians and other specialists than internal medicine/pediatric specialists. This study strongly suggests that a series of policies like 1) establishment of peer review organization of National Medical Insurance data, 2) prompt nation-wide expansion of computerized claiming network of National Medical Insurance and 3) establishment and distribution of objective diagnostic criteria to physicians are necessary to set up a national disease surveillance system utilizing National Medical Insurance claims data.

• The Korean Journal of Applied Statistics
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• v.10 no.1
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• pp.69-84
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• 1997

We consider a linear calibration problem, $y_i = $$\alpha + \beta (x_i - x_0) + \epsilon_i$, $i=1, 2, {\cdot}{\cdot},n$ $y_f = \alpha + \beta (x_f - x_0) + \epsilon, $ where we observe $(x_i, y_i)$'s for the controlled calibration experiments and later we make inference about $x_f$ from a new observation $y_f$. The objective of the calibration design problem is to find the optimal design $x = (x_i, \cdots, x_n$ that gives the best estimates for $x_f$. We compare Kim(1989)'s Bayesian design which minimizes the expected value of the posterior variance of $x_f$ and some optimal designs from literature. Kim suggested the Bayesian optimal design based on the analysis of the characteristics of the expected loss function and numerical must be equal to the prior mean and that the sum of squares be as large as possible. The designs to be compared are (1) Buonaccorsi(1986)'s AV optimal design that minimizes the average asymptotic variance of the classical estimators, (2) D-optimal and A-optimal design for the linear regression model that optimize some functions of $M(x) = \sum x_i x_i'$, and (3) Hunter & Lamboy (1981)'s reference design from their paper. In order to compare the designs which are optimal in some sense, we consider two criteria. First, we compare them by the expected posterior variance criterion and secondly, we perform the Monte Carlo simulation to obtain the HPD intervals and compare the lengths of them. If the prior mean of $x_f$ is at the center of the finite design interval, then the Bayesian, AV optimal, D-optimal and A-optimal designs are indentical and they are equally weighted end-point design. However if the prior mean is not at the center, then they are not expected to be identical.In this case, we demonstrate that the almost Bayesian-optimal design was slightly better than the approximate AV optimal design. We also investigate the effects of the prior variance of the parameters and solution for the case when the number of experiments is odd.

• Korean Journal of Remote Sensing
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• v.33 no.6_2
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• pp.1041-1046
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• 2017

The Ministry of Environment(ME) has been producing and providing various environmental spatial information including land-cover maps in order to effectively cope with environmental issues. With the advent of the 4th industrial revolution era and the frequent occurrence of environmental disasters, the necessity of combining the environmental spatial information with the newest technology is increasing. By considering the increased necessity, the ME and the Korean Society of Remote Sensing held the 2017 Environmental Spatial Information Research Paper Competition with the aim of both discovering new application fields of environmental spatial information and supporting outstanding researchers. The outstanding 9 papers were finally selected after reviewing 51 papers submitted for the competition. This special issue includes the 9 papers that address advanced methodologies and application results based on environmental spatial information, as well as recent environmental issues. We expect the methodologies and applications presented in this special issue would be a reference anthology for users of environmental spatial information.

• Korean Journal of Remote Sensing
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• v.36 no.5_4
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• pp.1179-1194
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• 2020

This study investigates the feasibility of three algorithms, K-Nearest Neighbors (K-NN), Random Forest (RF) and Neural Network (NN), for estimating the air temperature of an unobserved area where the weather station is not installed. The satellite image were obtained from Landsat-8 and MODIS Aqua/Terra acquired in 2019, and the meteorological ground weather data were from AWS/ASOS data of Korea Meteorological Administration and Korea Forest Service. In addition, in order to improve the estimation accuracy, a digital surface model, solar radiation, aspect and slope were used. The accuracy assessment of machine learning methods was performed by calculating the statistics of R² (determination coefficient) and Root Mean Square Error (RMSE) through 10-fold cross-validation and the estimated values were compared for each target area. As a result, the neural network algorithm showed the most stable result among the three algorithms with R² = 0.805 and RMSE = 0.508. The neural network algorithm was applied to each data set on Landsat imagery scene. It was possible to generate an mean air temperature map from June to September 2019 and confirmed that detailed air temperature information could be estimated. The result is expected to be utilized for national disaster safety management such as heat wave response policies and heat island mitigation research.

• Journal of Korea Water Resources Association
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• v.44 no.2
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• pp.85-96
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• 2011

Probability plotting position is generally used for the graphical analysis of the annual maximum quantile and the estimation of exceedance probability to display the fitness between sample and an appropriate probability distribution. In addition, it is used to apply a specific goodness of fit test. Plotting position formula to define the probability plotting position has been studied in many researches. Especially, the GEV distribution which is an important probability distribution to analyze the frequency of hydrologic data was popular. In this study, the theoretical reduced variates are derived using the mean value of order statistics to derived an appropriate plotting position formula for the GEV distribution. In addition, various forms of plotting position formula considering various sample sizes and coefficients of skewness related with shape parameters are applied. The parameters of plotting position formulas are estimated using the genetic algorithm. The accuracy of derived plotting position formula is estimated by the errors between the theoretical reduced variates and those by various plotting position formulas including the derived ones in this study. As a result, the errors by derived plotting position formula is the smallest at the range of shape parameter with -0.25~0.10.

• Journal of The Korean Society of Clinical Toxicology
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• v.5 no.1
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• pp.27-35
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• 2007

Purpose: Organophosphate (OP) compounds insecticides are the most commonly associated with serious human toxicity all over the world. The aim of this study was to identify sociocultural factors that contribute to high incidence of pure OP poisoning and prevent OP poisoning in order to reduce the factors responsible for deaths in South Korea. Methods: This is the 38 multi-centers survey and prospective study of pure OP poisoning by structural reporting system and hospital records from August 2005 to July 2006. 238 patients with acute pure OP poisoning were enrolled. We collected patient information regarding poisoning, clinical, and demographic features. Results: The mean age was $55.32{\pm}17.3$ years old. The most frequent site of exposure was their own residence(85.7%). Frequent compounds involving pure OP poisoning were dichlorvos(22.7%), methidathion(8.4%), and phosphamidon(6.7%). Intentional poisoning was 77.9%. The most frequently route of exposure was ingestion(94.5%). The mean arrival time to hospital after poisoning was 12.7 hours and mean hospitalization duration was 12.9 days. 2-PAM was administered to 101 patients in mean doses of 6.3 g/day intravenously. Atropine was administered to 81 patients in mean doses of 74.6 mg/day (maximal 910 mg/day). The presence of lower level of GCS score, respiratory complications, hypotension, acute renal failure, and serious dysrhythmia was associated with serious and fatal poisoning. Overall final mortality in pure OP poisoning was 9.7%(23/238). Conclusion: This study highlights the problem of pure OP poisoning in South Korea as a basic national survey. Futhermore this might help the establishment of strict policies availability of OP and the statistics of OP poison exposure in South Korea.

• Research in Community and Public Health Nursing
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• v.13 no.4
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• pp.743-756
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• 2002

Purpose: This study is a descriptive and comparative study that compares health state and school adaptation between children in divorced family and in normal family. Study results will provide a basic data for the development of an intervention program designed to help children in divorced family adjust to their crisis. Method: The study subjects consisted of 700 children in 4th. 5th or 6th elementary school grade, residing Seoul and Kyunggi regions. Among these subjects, 123 were children with divorced family and 577 were children with normal family. The health status of the subjects was measured by Health Symptom Questionnaire developed by Shin and revised by the investigators. The instrument consisted of 30 items measuring physical and emotional health symptoms. The level of school adaptation of the subjects was measured by School Adaptation Scale developed by Lee, which consisted of 4 dimensions with 20 items what measures relationship with peer students, learning activity, observance of regulation, and participation of school activity. The investigators visited the schools and collected data in the classes using the questionnaire after explaining the purpose and procedures of the study to the children. The data were analyzed by descriptive statistics, $\yen\"{o}2$-test, t-test, ANOVA using the SPSS PC + statistical program. Result: First, the mean health state score in children with normal family (M=11.99) was higher than that in children with divorced family (M=19.15), showing a significant difference (t=-6.51, p=.000) between the two groups, which suggests that children with normal family have better health state than children with divorced family. Second, the mean school adaptation score in children with normal family (M=38.99) was higher than that in children with divorced family (M=26.97), showing a significant difference between the two groups (t=104.07, p=.000), which suggests that the school adaptation of children with normal family is better than that of children with divorced family. Third, in comparison of health state between the two groups by general characteristics. there were significant differences between the two groups in sex. the most contributing factor to health status of the children, school year. birth order, religion, school achievement, amount of monthly pocket money, parents level of formal education, occupation of parents, economic status (p<.05). Forth, in comparison of the level of school adaptation between the two groups by general characteristics, there were significant differences between the two groups in most variables (p<.05), suggesting that children with normal family had better capacity of school adaptation than children with divorced family. Conclusion: As a result. this study showed that the parent's divorce had great influence on children's health status and school adaptation capacity. The implication for nursing is that there is a need to develop supportive interventions for the high-risk children who have decreased health states and school adaptation capacity due to the divorce of their parents. In addition, it is recommended that further studies should be conducted to explore protective factors for the prevention of health and adaptation problems in children.

• Research in Community and Public Health Nursing
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• v.14 no.2
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• pp.323-333
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• 2003

This is a comparative descriptive study conducted for 178 middle-aged women who were residing in Seoul and aged between 41 to 64 (95 in control group, and 83 in experimental group). The study was aimed to examine their climacteric symptoms, degree of fatigue, depression, anxiety and quality of sleep and to examine the differences on the symptoms between the two groups. Data were collected from April 1 to May 15, 2002 through self-statement using structured questionnaires. The collected data were verified with descriptive statistics, ? -test, t-test, ANOVA using SPSS/PC(+). The results are as follows. 1) The average scores of the climacteric symptoms were 1.56 .36 for the control group, and 1.55 .33 for the group taking relexzone massage, showing no significant difference between the groups (t=.15, p=.88). 2) The average scores of the degree of fatigue were 2.17 .65 for the control group, and 2.40 .66 for the group taking relexzone massage, showing a significant difference between the groups. (t=-2.31, p=.02) 3) The average scores of depression were 1.91 .50 for the control group, and 2.05 .42 for the group taking relexzone massage, showing a significant difference between the groups (t=-1.99, p=.05). 4) The average scores of anxiety were 1.54 .60 for the control group, and 1.57 .53 for the group taking relexzone massage, showing no significant difference between the groups (t=-.33, p=.74). 5) The average scores of quality of sleep were 2.97 .49 for the control group, and 2.98 .42 for the group taking relexzone massage, showing no significant difference between the groups(t=-.08, p=.93). Based on these results, the middle-aged women who take relexzone massage are considered to have less fatigue and depression than those who do not. As physiological regression progresses and the structure and role in the family are restructured, middle-aged women are like to experience various climacteric symptoms. As a nursing intervention, relexzone massage can be applied to middle-aged women to reduce their stress, climacteric symptoms and emotional anxiety, ultimately promoting their health. In order to implement relexzone massage as a nursing intervention, further testing on the psycho-neuroimmunologjcal effects of relexzone massage is necessary.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1612-1612
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• 2001

The production of grain for export and domestic use is one of Australia's most important agricultural industries, and the NIR technique has been used extensively over many years for the routine monitoring of grain quality, particularly moisture and protein content. Because most Australian grain is intended for human food production, the determinants of grain quality for livestock feed, apart from protein, have been largely ignored. However the increasing use of grain for feeding to pigs, poultry, beef cattle and dairy cows has led to an important national research project entitled “Premium Grains for Livestock”. Two of the objectives of this project are to determine the compositional and functional characteristics of grains which influence their nutritional quality for the various classes of livestock, and to adopt rapid and objective analytical tests for these quality criteria. NIR has been used in this project firstly to identify a set of grain samples from a large population of breeders' lines which showed a wide spectral variation, and hence a potentially wide variation in nutritional value. The selected samples were not only subjected to an extensive array of chemical, physical and in vitro analyses, but also were grown out to produce sufficient quantities of grain to feed to animals in vivo studies. Additional grains were also strategically selected from farms in order to include the effect of weather damage, such as rain, drought and frost. In this study to date, NIR calibrations have been derived or attempted, on both ground and whole grains, for in vivo dry matter digestibility (DMD), pepsin-cellulase dry matter disappearance, protein, fat, acid detergent fibre, neutral detergent fibre, starch, in sacco DMD and in vitro assays to simulate starch digestion in the lumen and small intestine. Results so far indicate high calibration accuracy for chemical components (SECV 0.3 to 2.6%) and very promising statistics for in vivo DMD (SECV 1.8, $R^2$ 0.93, SD 7.0, range 61.9 to 92.3, n=60). There appears to be some potential for NIR to estimate some in vitro properties, depending upon the accuracy of reference methods and appropriate sample populations. Current work is in progress to extend the range of grains with in vivo DMD values (a very laborious and expensive process) and to increase the robustness of the various NIR calibrations, with the aim of implementing uniform testing procedures for nutritional value of grains throughout Australia.

• Communications of Mathematical Education
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• v.25 no.1
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• pp.261-288
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• 2011

We examined the effects of pair assistant collaborative learning on academic achievement of the 2nd year middle school students in the three subjects such as the Probability, Properties of Figures and Similarities of Figures. In order to carry out this study, we selected 2 classes of 2nd year students in a girls middle school in the Fall semester of 2009 and set up the experiment group and comparison group by the result of academic achievement tests given in the end of the Spring semester of 2009. Pair assistant collaborative learning was adopted for students in problem solving 2 or 3 times per a week in the experiment group and each academic achievement was given at the end of each subject in both groups. Also, we had a final survey to find out students' attitude to this collaborative learning. The achievement and survey were analysed by statistical methods. We conclude that our pair assistant collaborative learning was effective in Probability and Similarities of Figures Units. According to the result of survey, this collaborative learning brought about an opportunity to promote students' community spirit through reflecting each one's role in the group.