• The Journal of Society for e-Business Studies
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• v.22 no.2
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• pp.123-136
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• 2017

The evaluation and analysis method of information system (IS) is studied from the system perspective, the user perspective, and the management viewpoint. The detailed analysis method performs qualitative evaluation by user questionnaire or expert opinion. In this study, Measures the productivity and the effect of building administrative information systems. In the previous study, qualitative productivity and universal effect indicators were used, but in this study, quantitative productivity indicators and indicators specific to administrative complaints were selected. KONEPS, an administrative service system, used electronic contract records and information recorded in the intermediate process. The information was converted into the number of days, and the productivity based on the input manpower was calculated. The effect analysis analyzed the questionnaire related to civil affairs, which is the goal of the administrative work system. Each factor was divided into reflective structural variable and formal structural variable, and internal consistency and multi-collinearity were diagnosed. In order to verify the model, the influence of the work was set as a hypothesis, the reliability was verified according to the descriptive statistics method, the influence was measured through the regression analysis, and the model was analyzed by the multiple regression model path coefficient. Model validation methods are Chi-square (df, p), RMR, GFI, AGFI, NFI, CFI and GFI as indicators according to CFA.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.1
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• pp.1-10
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• 2018

Objective : The purpose of study is to validate the clinical utility and usability of the Korean version of the Life Space Assessment(K-LSA) which is an assessment tool of community mobility of older adults. Methods : Surveys on the clinical utility and usability of the K-LSA are carried out with a total of aoaa60 occupational and physical therapists. The surveys included the multiple choice questions on the clinical utility and open questions on the usability. Responses to multiple questions are post processed by frequency analysis and technical statistics, and responses to the open questions are categorized by common factors in each questions. Results : Average value of clinical utility ranges from 3.6 to 4.0 with positive responses of 'fair (3 point)', 'agree (4 point)' and 'strongly agree (5 point)' being 95~100%. Average value for clinical usability ranges from 3.6 to 4 with positive answers of 'fair (3 point)', 'easy (4 point)' and 'very easy (5 point)' being 88.3~100%. Additionally out of open-type questions of clinical usability, it was pointed out that the concept of 'neighborhood' for the life space level 3 and 4 is unclear. Conclusion : The current study and research outcomes showed that the K-LSA is a validated tool in Korean health care system for the clinical utility and usability in measuring community mobility, and that it is straightforward in practical use. It will help clinicians and therapists promote the social participation of older adults, and set an intervention goal for enhancing community mobility. It will further help clinicians and researchers in education and research for medical intervention and goal-setting.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1249-1258
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• 2015

DGAT1(diacylglycerol O-acyltransferase1) gene is well known as a major gene of milk production in dairy cattle. This study was conducted to investigate how the DGAT1 gene effect on milk yield was appeared from the genome wide association (GWA) using high density whole genome SNP chip. The data set used in this study consisted of 353 Korean Holstein sires with 50k SNP genotypes and deregressed estimated breeding values of milk yield. After quality control 41,051 SNPs were selected and locations on chromosome were mapped using UMD 3.1. Bayesian regression of BayesB method (pi=0.99) was used to estimate the SNP effects and genomic breeding values. Percentages of variance explained by 1 Mb non-overlapping windows were calculated to detect the QTL region. As the result of this study, top 1 and 3 of 2,516 windows were seen around DGAT1 gene region and 0.51% and 0.48% of genetic variance were explained by these two windows. Although SNPs on the DGAT1 gene region are excluded in commercial 50k SNP chip, the effect of DGAT1 gene seem to be reflected on GWA by the SNPs which are in linkage disequilibrium with DGAT1 gene.

• Korea Journal of Hospital Management
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• v.21 no.4
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• pp.1-12
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• 2016

The purpose of this study are suggest to performance measurement model of Electronic Medical Record(EMR) and Key Performance Index(KPI). For data collection, 665 questionnaires were distributed to medical record administrators and insurance reviewers at 31 hospitals, and 580 questionnaires were collected(collection rate: 87.2%). Regarding methodology, Critical Success Factor(CSF) and index of the information system were derived based on previous studies, and these were set as performance measurement factors of EMR system. The performance measurement factors were constructed by perspective using BSC, and analysis on causal relationship between factors was conducted. A model of causal relationship was established, and performance measurement model of EMR system was proposed through model validation. Analysis on causal relationship between performance management factors revealed that utility cognition of the learning & growth perspective factor had causal relationship with job efficiency(${\beta}=0.20$) and decision support(${\beta}=0.66$) of the internal process perspective factors, and security had causal relationship with system satisfaction(${\beta}=0.31$) of the customer perspective factor. System quality had causal relationship with job efficiency(${\beta}=0.66$) and decision support(${\beta}=0.76$) of the internal process perspective factors, all of which were statistically significant(P<0.01). Job efficiency of the internal process perspective had causal relationship with system satisfaction(${\beta}=0.43$), and decision support had causal relationship with decision support satisfaction(${\beta}=0.91$) and job satisfaction (${\beta}=0.74$), all of which were statistically significant(P<0.01). System satisfaction of the customer perspective had causal relationship with job satisfaction(${\beta}=0.12$), job satisfaction had causal relationship with cost reduction(${\beta}=0.53$) of the financial perspective, and decision support satisfaction had causal relationship with productivity improvement(${\beta}=0.40$)of the financial perspective(P<0.01). Also, cost reduction of the financial perspective had causal relationship with productivity improvement(${\beta}=0.37$), all which were statistically significant(P<0.05). Suitability index verification of the performance measurement model whose causal relationship was found to be statistically significant revealed that $X^2/df=2.875$, RMR=0.036, GFI=0.831, AGFI=0.810, CFI=0.887, NFI=0.838, IFI=0.888, RMSEA=0.057, PNFI=0.781, and PCFI=0.827, all of which were in suitable levels. In conclusion, the performance measurement indices of EMR system include utility cognition, security, and system quality of the learning & growth perspective, decision support and job efficiency of the internal process perspective, system satisfaction, decision support satisfaction, and job satisfaction of the customer perspective, and productivity improvement and cost reduction of the financial perspective. In this study, it is expected that the performance measurement indices and model of EMR system which are suggested by the author, will be a measurement tool available for system performance measurement of EMR system in medical institutions.

• YAKHAK HOEJI
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• v.56 no.5
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• pp.288-292
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• 2012

The aim of the paper is to ameliorate old research methods of Korean Pharmaceutical Codex to adjust the newest scientistic level which is necessary to maintain quality of medical supplies effectively. After reviewing result of Establishment of Dissolution Specifications for Generic Drugs in Korea Pharmaceutical Codex Monograph, there are two items chosen for the methods - Establishment of Dissolution Specifications for Generic Drugs in Korea Pharmaceutical Codex Monograph which KFDA researched in 2010, arranged new measuring standard by having an experiment to set measuring method after obtaining each item. According to the result, The experiment includes a measuring method of two items; Nafronyl Oxalate Capsules, and Ticlopidine Hydrochloride Tablets. The research is ameliorated by research methods through several experiments such as High Performance Liquid Chromatography validation, preparing items, implement of trial-experiment and authentic experiment, and experiment on measuring method of regulations of Korea Pharmaceutical Codex. The experiments are taken opinions of experts in KFDA into consideration and wrote out a report of the new measuring method on each last item. The report is combined as each two experiment sections of analyzing method to maintain the quality on the basis of the research in 2010 on setting of dissolution specifications for oral solid dosage forms. The result of measuring method of medical supplies through modernizing trial method of oral solid dosage forms is available to be accurate. In conclusion, this study could contribute to promotion of public health by organizing a basis for safe and high quality of medical supplies in domestic market.

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.197-207
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• 2010

Using a variety of data-mining methods on high-throughput cDNA microarray data, the level of gene expression in two different tissues can be compared, and DEG(Differentially Expressed Gene) genes in between normal cell and tumor cell can be detected. Diagnosis can be made with these genes, and also treatment strategy can be determined according to the cancer stages. Existing cancer classification methods using machine learning select the marker genes which are differential expressed in normal and tumor samples, and build a classifier using those marker genes. However, in addition to the differences in gene expression levels, the difference in gene-gene correlations between two conditions could be a good marker in disease diagnosis. In this study, we identify gene pairs with a big correlation difference in two sets of samples, build gene classification modules using these gene pairs. This cancer classification method using gene modules achieves higher accuracy than current methods. The implementing clinical kit can be considered since the number of genes in classification module is small. For future study, Authors plan to identify novel cancer-related genes with functionality analysis on the genes in a classification module through GO(Gene Ontology) enrichment validation, and to extend the classification module into gene regulatory networks.

• Journal of Gifted/Talented Education
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• v.19 no.2
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• pp.353-380
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• 2009

The significant reason for studying computer science lies in the efficient resolution of various problems which can arise in actual life. Consequently, algorithm education is very important in the computer science and plays a great part in helping to enhance the creative ability to solve problems and to improve the programming ability. However, the current algorithm education at an computer science educational institute for the gifted has inadequate systematic quality and is only treated as a part of programming education. From this perspective, this paper carried out following studies in order to design the algorithm education for elementary computer science prodigies. First, the core educational contents was selected by extracting the common elements from existing books related to algorithm education, common study contents on algorithm lesson websites and the study area of ACM's computer algorithm. Second, using the development criteria and selected educational contents, the educational theme for the If weeks load was set. Additionally, the algorithm educational contents were designed for the elementary computer science prodigy based on such theme. Third, the activity site for the use of prodigy educational institute was developed with the background in the educational contents for the elementary computer science prodigy. Fourth, the Delphi analysis technique was used to verify the appropriateness of contents and activity site developed in this paper. It was carried out in 2 separate processes where the first process verified the design of educational contents, and the second process verified the appropriateness of developed activity site.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.6
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• pp.1234-1240
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• 2009

This study was to compare the effectiveness and validity of various data-mining algorithm for Sasang type diagnostic test. We compared the sensitivity and specificity index of nine attribute selection and eleven class classification algorithms with 31 data-set characterizing Sasang typology and 10-fold validation methods installed in Waikato Environment Knowledge Analysis (WEKA). The highest classification validity score can be acquired as follows; 69.9 as Percentage Correctly Predicted index with Naive Bayes Classifier, 80 as sensitivity index with LWL/Tae-Eum type, 93.5 as specificity index with Naive Bayes Classifier/So-Eum type. The classification algorithm with highest PCP index of 69.62 after attribute selection was Naive Bayes Classifier. In this study we can find that the best-fit algorithm for traditional medicine is case sensitive and that characteristics of clinical circumstances, and data-mining algorithms and study purpose should be considered to get the highest validity even with the well defined data sets. It is also confirmed that we can't find one-fits-all algorithm and there should be many studies with trials and errors. This study will serve as a pivotal foundation for the development of medical instruments for Pattern Identification and Sasang type diagnosis on the basis of traditional Korean Medicine.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.3
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• pp.639-647
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• 2011

In this paper, we introduce a design methodology of data-centroid Radial Basis Function neural networks with extended polynomial function. The two underlying design mechanisms of such networks involve K-means clustering method and Particle Swarm Optimization(PSO). The proposed algorithm is based on K-means clustering method for efficient processing of data and the optimization of model was carried out using PSO. In this paper, as the connection weight of RBF neural networks, we are able to use four types of polynomials such as simplified, linear, quadratic, and modified quadratic. Using K-means clustering, the center values of Gaussian function as activation function are selected. And the PSO-based RBF neural networks results in a structurally optimized structure and comes with a higher level of flexibility than the one encountered in the conventional RBF neural networks. The PSO-based design procedure being applied at each node of RBF neural networks leads to the selection of preferred parameters with specific local characteristics (such as the number of input variables, a specific set of input variables, and the distribution constant value in activation function) available within the RBF neural networks. To evaluate the performance of the proposed data-centroid RBF neural network with extended polynomial function, the model is experimented with using the nonlinear process data(2-Dimensional synthetic data and Mackey-Glass time series process data) and the Machine Learning dataset(NOx emission process data in gas turbine plant, Automobile Miles per Gallon(MPG) data, and Boston housing data). For the characteristic analysis of the given entire dataset with non-linearity as well as the efficient construction and evaluation of the dynamic network model, the partition of the given entire dataset distinguishes between two cases of Division I(training dataset and testing dataset) and Division II(training dataset, validation dataset, and testing dataset). A comparative analysis shows that the proposed RBF neural networks produces model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• Journal of Pharmaceutical Investigation
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• v.34 no.6
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• pp.521-527
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• 2004

Cimetidine is a histamine $H_2-receptor$ antagonist, used for the treatment of endoscopically or radiographically comfirmed duodenal ulcer, pathologic GI hypersecretory conditions, and active, benign and gastric ulcer. Simple method for determining cimetidine in human plasma has been developed and validated. The analytical procedure for cimetidine showed a linear relationship in the concentration ranges from $0.05\;to\;5\;{\mu}g/ml$. Coefficient of variance (CV, %) for intraday and interday validation and relative error (RE, %) were less than ${\pm}15%$. Based on this analytical method, the bioequivalence of two cimetidine 400 mg tablets, reference (Tagamet 400 mg) and test drug (Sinil CIMETIDINE 400 mg) was evaluated according to the guidelines set by the Korea Food and Drug Administration (KFDA). Release of cimetidine from the tablets in vitro was tested using KP VIII Apparatus II with various dissolution media (pH 1.2, 4.0, 6.8 buffer solutions and water). Twenty-four healthy volunteers, $21.38{\pm}1.86$ years in age and $68.71{\pm}8.68\;kg$ in body weight, were divided into two groups and a randomized $2{\times}2$ cross-over study was performed. After oral administration of a tablet containing 400 mg of cimetidine, blood samples were taken at predetermined time intervals and concentrations of cimetidine in plasma were determined using HPLC equipped with UV detector. The dissolution profiles of the two tablet formulations were very similar at all dissolution media. In addition, pharmacokinetic parameters such as $AUC_t$ and $C_{max}$ were calculated and ANOVA was employed for the statistical analysis of parameters. The results were revealed that the differences in $AUC_t$ and $C_{max}$ between the two tablets were 4.17 % and 0.97% respectively. At 90% confidence intervals, the differences in these parameters were also within ${\pm}20%$. All of the above mentioned parameters have met the criteria of KFDA guidelines for bioequivalence, indicating that the test drug tablet (Sinil CIMETIDINE tablet) is bioequivalent to Tagamet 400 mg tablet.