• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.280-292
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• 2012

Cognitive-pragmatic language ability decreases during the normal aging process. Evaluating the ability might be useful in testing predicting cognitive level and diseases such as dementia. The aim of this study is to analyze various assessment protocols for normal aging, and evaluate the content validity of the currently developing cognitive-pragmatic language test domains and items. Content Validity Index(CVI) was calculated based on ratings judged by 17 experts including speech-language pathologists and clinical psychologists. As a result, it was found that CVIs of all 7 domains including attention, memory, organization, reasoning, problem solving, executive function, pragmatic language were above .75. It was concluded that the test items contained the appropriate content validity to assess cognitive-pragmatic language for normal aging.

• Journal of dental hygiene science
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• v.14 no.1
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• pp.15-21
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• 2014

The purpose of this study in vitro investigation was to evaluate the dimensional stability of dental digital models made by impression scanning method. Twenty working models were produced. Twenty impressions were made from study models. The dimensional stability of models of two groups (stone and digital models) was examined using six landmark distances. Stone models were measured through digital vernier calipers. Digital models were measured by the computer program. Statistical analyses were performed with Wilcoxon rank sum test (${\alpha}=0.05$). The mean of six landmark distances were significantly larger in the stone models than in the digital models (p<0.05) but digital models showed clinically acceptable accuracy.

• Journal of Biomedical Engineering Research
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• v.24 no.3
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• pp.193-201
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• 2003

In this paper, a classifier of urine analysis system was designed using preprocessing and fuzzy algorithm. Preprocessing were processed by normalizing data of strip using calibration curve composed of achromatic colors value and by calculating three stimulus. FUZZY classifier capable of analyzing a qualitative concentration of test items was composed of fuzzifier by gaussian shaped membership function, inference of MIN method, and defuzzifier of centroid method through verification by measuring standard solution and by classifying concentration classes. After tuning membership function according to relating standard solution with urinalysis sample, the possibility to adapt classifier designed for urine analysis system near a bed was verified as classifying measured urinalysis samples and observing classified result. Of all test items, experimental results showed a satisfactory agreement with test results of reference system.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.25 no.3
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• pp.267-275
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• 2012

In this study, crack growth in a center-cracked plate is predicted under mode I variable amplitude loading, and the result is validated by experiment. Huang's model is employed to describe crack growth with acceleration and retardation due to the variable loading effect. Experiment is conducted with Al6016-T6 plate, in which the load is applied, and crack length is measured periodically. Particle Filter algorithm, which is based on the Bayesian approach, is used to estimate model parameters from the experimental data, and predict the crack growth of the future in the probabilistic way. The prediction is validated by the run-to-failure results, from which it is observed that the method predicts well the unique behavior of crack retardation and the more data are used, the closer prediction we get to the actual run-to-failure data.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.23-30
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• 2010

With the advancement of information technology and increasing diversity in medical field, there are ongoing researches on ontology based intelligent medical system in Oriental medicine field. Intelligent diagnostic support system uses ontology to give a structure to complex medical knowledge and personal medical history so that we can make diagnosis more scientific, and provide better medical services. In this paper, we suggest an ontology that structuralize three knowledge types basic medical data, clinical trial data, and personal health information, which can be used as important information for individually tailored diagnosis. Especially in Oriental medicine diagnosis, both patient's symptoms of illness and physical constitution play a great role; it can lead to distinct diagnosis depending on their combination. Thus, it is much needed to have a diagnostic support system that uses personal health history and physical constitution along with basic medical data and clinical trial data in the field. In this paper, we implemented an Oriental medicine diagnostic support system that provides individualized diagnosis service to each patient by building an ontology on Oriental medicine focused on individual physical constitution and disease information.

• Journal of Industrial Convergence
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• v.17 no.1
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• pp.17-24
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• 2019

The purpose of this study is to confirm the effects of the contents of the recording lectures through the automatic recording system of the nursing students on the program outcomes of the pediatric nursing. The study was designed using a nonequivalent control group pretest-posttest design. the subject of this study consisted of 104 nursing students(the experimental group of 52 and the control group of 52). Data were analyzed by ${\chi}^2$ test and independent t-test using SPSS 22.0. The effect of the first program outcome(PO1. We can integrate nursing skills based on various the liberal arts and the major knowledge into practice) of the experimental group was not confirmed, but the fifth program outcome(PO5. We can apply critical thinking based nursing processes and implement clinical inferences) was significantly higher than that of the control group. It is significant that this study presented the data to develop the class design method to improve the program outcomes of the nursing student at the present time which is operating the program outcomes based curriculum for nurse with core competency.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.411-425
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• 2021

Accelerated failure time (AFT) model represents a linear relationship between the log-survival time and covariates. We are interested in the inference of covariate's effect affecting the variation of survival times in the AFT model. Thus, we need to model the variance as well as the mean of survival times. We call the resulting model mean and variance AFT (MV-AFT) model. In this paper, we propose a variable selection procedure of regression parameters of mean and variance in MV-AFT model using penalized likelihood function. For the variable selection, we study four penalty functions, i.e. least absolute shrinkage and selection operator (LASSO), adaptive lasso (ALASSO), smoothly clipped absolute deviation (SCAD) and hierarchical likelihood (HL). With this procedure we can select important covariates and estimate the regression parameters at the same time. The performance of the proposed method is evaluated using simulation studies. The proposed method is illustrated with a clinical example dataset.

• Journal of Korea Multimedia Society
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• v.6 no.1
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• pp.148-160
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• 2003

TMA(Tissue Mineral Analysis) is very popular method in hair mineral analysis for health care professionals in over 48 countries medical center. Assesment of nutritional minerals and toxic elements in the hair is very important not only for determining adequacy, deficiencies and unbalance, but also for assessing their relative relationships in a body. In Korea, there are some problems in TMA method. Because of not haying a medical information database which is suitable for korean to do analyze, the requested TMA has to send to TEI-USA. However, as the TMA results from TEI-USA is composed of English documents and graphic files prohibited to open, its usability is very low and a lot of dollars has to be payed. Also, it can make some problems in the reliability of the TMA results, since the TMA results are based on the database of western health and mineral standards, To solve these problems, I developed the first Medical Information System of TMA in Korea here. The system can analyze the complex tissue mineral data with multiple stage decision tree classifier. It is also constructed with multiple fuzzy database and hence analyze the TMA data by fuzzy inference methods. The effectiveness test of this systems can be shown the increased business efficiency and satisfaction rate 86% and 92% respectively.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.540-548
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• 2018

The purpose of this study was to test the validity and reliability of the Satisfaction with Simulation Experience (SSE) scale for evaluating high-fidelity simulation education for nursing students. Participants were 174 nursing students, seniors enrolled in two colleges in two different regions. Collected data were analyzed using SPSS / WIN 22.0 and tested for construct validity (factor analysis, group comparison test) and reliability (internal consistency). Factor analysis revealed 17 items and 3 factors explaining 71.581% of the variance. Group comparisons showed that satisfaction with simulation training differed significantly across satisfaction to a college life and school record. Internal consistency reliability for all items was .945. For each sub-domain, the reliability coefficient was .929 for 'Debrief', .908 for 'Clinical learning and reflection', and .860 for 'Clinical reasoning'. Nursing students' mean satisfaction with simulation using the high-fidelity simulator was 3.92. Results of this study are expected to be used for evaluating the satisfaction of nursing college students receiving high-fidelity simulation education, and to serve as groundwork for the development and application of nursing simulation education.

• The Journal of the Korean life insurance medical association
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• v.12
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• pp.50-55
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• 1993

After a short historical resume, screening is discussed on the basis of the current philosophy of Life insurance compaines in leading countries. This is followed by considerations with regard to the future in areas of major bearing on Life insurance screening which have emerged as important within the last decade. HIV-antibody testing is dealt with from the screening point of view followed by aspects regarding the applicability of tumour marker use in Life insurance medicine. Last but not least genetic testing will be addressed, taking into account prospects for the future, as well as the resulting responsibility in medical and underwriting terms. The major considerations and suggested guidelines can be summarized as follows: 1) Screening in Life insurance is a prerequisite for underwriting and is a well-functioning selection instrument. 2) Screening technologies are medically well defined and have to follow general clinical rules, also in the future. 3) Screening parameters should follow the patterns of diseases according to age and risk groups. 4) Screening parameters for prognostic use are legitimate as long as they are considered in conjuction with clinical medical observations and rules. 5) Screening technologies of a sensitive nature require very special rules for handling in the sense of "consequential ethies". 6) Screening parameters like HIV-antibody testing require ongoing scientific feedback in their new testing dimensions. 7) Screening in the form of genetic testing is as yet not used in Life insurance; its potential future role in Life insurfance medicine must, however, be discussed responsibly and in time. 8) Screening enables the insurance industry to rule out possible antiselection and provide for equal knowledge on the part of the insurance applicant and the insurer about impairements which shorten life expectancy. 9) Screening, informed consent, counselling and confidentiality must go hand in hand both now and to an even greater extent in the future.