• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.2
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• pp.29-36
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• 2017

The objective of this study was to analyze the temporal and spatial characteristics of agricultural drought by tracking the daily reservoir storage in Chungnam province. All daily records of the percent of reservoir storage from 2000 to 2015 were collected for 130 irrigation reservoirs from the RIMS (Rural Infrastructure Management System). The temporal change of province-wide average reservoir storage and the statistics showed that the annual average and minimum percent of reservoir storage in 2015 were extremely low like as those in the historical drought years of 2001 and 2012. The minimum reservoir storage on record was a 41 % at the end of September and remained far less than its historical average even until the end of the year. Furthermore, the annual average reservoir storage (68.3 %) recorded the lowest on record since 2000. In addition, about half of 130 major irrigation reservoirs in Chungnam fell into the risk of water shortage below 30 % full, and, in terms of annual minimum reservoir storage, the 79 reservoirs yielded lower storage in 2015 comparing with the measured in another drought year, 2001. On the other hand, irrigation reservoirs of comparatively worse storage condition revealed to be mostly located on the inside, such as Cheongyang-gun and Hongsung-gun. Conclusively, the low reservoir storage, still far below average even on December 2015, induced a serious concern about that more extreme drought would happen in the next spring.

• Journal of Information Science Theory and Practice
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• v.4 no.1
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• pp.49-64
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• 2016

What government does/fails to do is conveyed to the public largely by records and information of various types in the public service, without which there will be no government. When records are poorly managed, much time is involved in sorting and locating needed information from large volumes of records. The rate of records misplaced or lost from which useful information for decision making is usually obtained makes it difficult to provide concise and up-to-date records of both past and present operations, raising the challenge of effective record-keeping. Thus this study examined records management practices in selected local government councils in Ogun State, Nigeria, adopting the descriptive survey research method using questionnaires for data collection. Its population comprised 415 records of personnel in the selected councils, of which 208 were sampled using simple random technique. From the 208 copies of the questionnaire administered on the registry personnel, 150 copies were useable, with a 72.12% response rate. Descriptive statistics were used for the analysis. The results indicated a prevalence of paper as the dominant medium for recording/conveying information in the councils with most of these being either in active state, semi-active, and vital and were kept and maintained in the registry, while in-active records were kept in the records store. Storage facilities for record-keeping were insufficient. Security measures against unauthorized access to records were by restrictions and subject users to managerial clearance. The study concluded that council records were in chaos and recommended the formulation of coherent records management policy, adequate budgetary provision, and adequate finance.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.365-372
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• 2021

The purpose of this study was to examine the statements characteristics of the pressure ulcer nursing record by natural langage processing and assess the prediction accuracy for each pressure ulcer stage. Nursing records related to pressure ulcer were analyzed using descriptive statistics, and word cloud generators (http://wordcloud.kr) were used to examine the characteristics of words in the pressure ulcer prevention nursing records. The accuracy ratio for the pressure ulcer stage was calculated using deep learning. As a result of the study, the second stage and the deep tissue injury suspected were 23.1% and 23.0%, respectively, and the most frequent key words were erythema, blisters, bark, area, and size. The stages with high prediction accuracy were in the order of stage 0, deep tissue injury suspected, and stage 2. These results suggest that it can be developed as a clinical decision support system available to practice for nurses at the pressure ulcer prevention care.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.978-984
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• 2020

In this study, the correlation between sports records and weather data was analyzed using the big data analysis method. To this end, data was collected by API and crawling, data was processed, statistics were performed, and data visualization was performed. The subject of this study was a player who entered the regular at-bat among outfielders in the 2019 KBO League. In addition, meteorological data were analyzed by using the unpleasant index and above 70 and below 70. As a result of the study, in the various hitting indicators, which are the records that pitchers intervene, the higher the unpleasant index, the better the outfielder's record, but pitchers, walks, pitches, pitching success rates, pitches per turn, pitches per game From the records of the back, it was found that the outfielder made the pitcher difficult. It is expected that this study will help the development of the sports data industry and the performance of baseball players, baseball teams, and coaching staff.

• Journal of Acupuncture Research
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• v.22 no.4
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• pp.95-111
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• 2005

Objectives : The analysis of prognosis about lumbago classes is important for low back patients. This study was designed to show the clinical significance about lowback pain patients based on 10 classes lumbago ill Dong-Eui-Bo-Kham. Methods : To analyze classify 80 patients who had received the hospital treatment for low back pain, they were classified according to 10 classes lumbago in Dong-Eui-Bo-Kham. To estimate the efficacy of oriental medical treatment, we used Quardruple Visual Analog Scale (QVAS). Results & Conclusion :1. According To 10 classes lumbago in Dong-Eui-Bo-Kham, the largest group of lumbago was due to muscle strain in 30(37.5%) cases, the next was due to wind pathogen group in 18(22.5%) cases, due to blood stasis group in 16(20%), due to Kidney deficiency by 12(15.0%), due to retention of food group by 2(2.5%), the lumbago due to humidity pathogen group by 2(2.5%) in order. 2. By the results which puts out the statistics in lumbago classes on a objectivity treatment record, the Lumbago due to blood stasis, the lumbago due to kidney deficiency, the lumbago due to muscle strain, the lumbago due to wind pathogen, the lumbago due to retention of food, the lumbago due to humidity pathogen showed $3.6({\pm}0.68),\;2.83({\pm}0.84),\;3.13({\pm}0.78),\;2.67{\pm}(0.77),\;3.00,\;3.00$. 3. By the results which puts out the statistics in lumbago classes as a subjectivity treatment record, the Lumbago due to blood stasis, the lumbago due to Kidney deficiency, the lumbago due to muscle strain, the lumbago due to wind pathogen, the lumbago due to retention of food, the lumbago due to humidity pathogen changed from $8.19{{\pm}1.68),\;8.58{\pm}(1.08),\;7.80{\pm}(2.28),\;8.67({\pm}1.46),\;9.00({\pm}1.41),\;8.50({\pm}0.71)\;to\;2.81({\pm}1.91),\;4.17({\pm}2.52),\;2.43({\pm}1.63),\;3.00({\pm}1.85),\;2.00,\;3.00$.

• Journal of Nutrition and Health
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• v.45 no.4
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• pp.372-389
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• 2012

The objective of this study is to select a simple and easy measurable food behavior checklist for the development of Nutrition Quotient (NQ) for children, which reflects children's diet quality, as well as to evaluate the validity of the items in the food behavior checklist. The first 36 items in the checklist were established by an expert review, modifying the preliminary 50 items in the checklist, which had been selected by a literature review and the Korean National Health and Nutrition Examination Survey data. 341 children in 5th and 6th grades at an elementary school participated in a one-day dietary record survey, and later responded to 36 food behavior questions of the checklist. Pearson's correlation coefficients between the responses to the food behavior checklist items along with the mean nutrient intakes of the children were calculated. From the result, in which responses of food frequency and food behavior items showed certain association with the dietary record data, a second checklist with 22 items was selected. A survey was conducted by using the second checklist. 1,393 children in the 5th and 6th grades at 12 elementary schools in metropolitan cities, such as Seoul, Busan, Gwangju, Daegu, Daejeon, and Incheon, participated in the survey. Further, an exploratory factor analysis was performed. After the analysis, 19 items (10 items from food frequency and 9 items from food behavior) were finalized as the food behavior checklist items for the NQ. The final 19 food behavior checklist items were composed of 5 factors: 'Balance', 'Diversity', 'Moderation', 'Regularity', and 'Practice'. This study is a significant first trial to establish a comprehensive system for evaluating children's food habit and diet quality. This checklist might need continuous modification and revision reflecting the change of children's dietary life and the social environment.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.14 no.4
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• pp.308-318
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• 2002

The requirements to the numerical model of wind-generated waves in shallow water are discussed in the framework of the Korteweg-de Vries equation. The weakness of nonlinearity and dispersion required for the Korteweg-de Vries equation applicability is considered for fully developed sea, non-stationary wind waves and swell, including some experimental data. We note for sufficient evaluation of the freak wave statistics it is necessary to consider more than about 10,000 waves in the wave record, and this leads to the limitation of the numerical domain and number of realizations. The numerical modelling of irregular water waves is made to demonstrate the possibility of effective evaluation of the statistical properties of freak waves with heights equal to 2-2.3 significant wave height.

• Journal of Preventive Medicine and Public Health
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• v.39 no.5
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• pp.433-437
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• 2006

Objectives: The aim of this study is to develop a methodology for estimating a nationwide statistic for hernia operations with using the claim database of the Korea Health Insurance Cooperation (KHIC). Methods: According to the insurance claim procedures, the claim database was divided into the electronic data interchange database (EDI_DB) and the sheet database (Paper_DB). Although the EDI_DB has operation and management codes showing the facts and kinds of operations, the Paper_DB doesn't. Using the hernia matched management code in the EDI_DB, the cases of hernia surgery were extracted. For drawing the potential cases from the Paper_DB, which doesn't have the code, the predictive model was developed using the data mining technique called SEMMA. The claim sheets of the cases that showed a predictive probability of an operation over the threshold, as was decided by the ROC curve, were identified in order to get the positive predictive value as an index of usefulness for the predictive model. Results: Of the claim databases in 2004, 14,386 cases had hernia related management codes with using the EDI system. For fitting the models with applying the data mining technique, logistic regression was chosen rather than the neural network method or the decision tree method. From the Paper_DB, 1,019 cases were extracted as potential cases. Direct review of the sheets of the extracted cases showed that the positive predictive value was 95.3%. Conclusions: The results suggested that applying the data mining technique to the claim database in the KHIC for estimating the nationwide surgical statistics would be useful from the aspect of execution and cost-effectiveness.

• Quality Improvement in Health Care
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• v.15 no.1
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• pp.123-133
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• 2009

Background : The principal diagnosis has been used in many different fields such as hospital statistics, medical research, insurance claim, national health statistics and so on. Some principal diagnoses have a relatively low level of reliability in the medium-sized hospitals. The purpose of this study is to identify the reliability level of principal diagnoses and to suggest ways to improve reliability of the principal diagnosis. Method : Data were collected from a medium-sized hospital located in Pusan. The discharge summaries on 323 patients who were discharged in January, 2008 and the outpatient summaries on 251 patients who visited the hospital on March 28, 2008 were collected, and descriptive analysis was performed using SPSS version 12.0K. Result : The findings are the followings: (1) the diagnostic consistency rate between medical records and doctors' was 92.0%; (2) the diagnostic consistency rate between medical records and insurance claims was 86.1%; (3) the diagnostic consistency rate between doctors' diagnoses and insurance claims was 80.2%. The evidence seems to indicate that some principal diagnoses have reliability problems in the medium-sized hospitals. Conclusion : The results of this study suggest the followings: (1) employees should be trained and supervision of hospital activities are needed; (2) network systems should be constructed for each department; (3) professions need to be fostered (4) doctors' awareness of medical records should be changed.

• The Korean Journal of Applied Statistics
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• v.26 no.3
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• pp.441-452
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• 2013

This study analyzed the relationship between key film and a box office record success factors based on movies released in the first quarter of 2013 in Korea. An over-fitting problem can happen if there are too many explanatory variables inserted to regression model; in addition, there is a risk that the estimator is instable when there is multi-collinearity among the explanatory variables. For this reason, optimal variable selection based on high explanatory variables in box-office performance is of importance. Among the numerous ways to select variables, LASSO estimation applied by a generalized linear model has the smallest prediction error that can efficiently and quickly find variables with the highest explanatory power to box-office performance in order.