• 영재교육연구
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• 제5권2호
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• pp.139-156
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• 1995

The purpose of the study is to examine the effects of Gifted Education Isnstitute of Korea (GEIK) programs for gifted children especially in the areas of reasoning skills and creativity, thereby proving the effectiveness of the program. The subjects are 136 (103 boys and 33 girls) fourth, fifth, and sixth grade gifted children, who have participated in GEIK programs for more than six moths. They were stratified by the length of participation in GEIK programs. Ninety four children have participated for more than one year. Forty-two children have participated for less than one year. Both groups are rather homogeneous in IQ scores and school achievement levels at the time of enterance into GEIK programs. Both a Group Assessment of Logical Thinking (GAIT) and a Creativity test were used for the study on reasoning skills and creativity. GALT, developed by V. Roadranka, R. H. Yeany and M. J. Padilla in 1983, consists of 12 questions. It is classified into six subscales: conservation, proportional reasoning, controlling variables, provability reasoning, correlational reasoning, and combinatorial reasoning. The reliability of this test is .85. This test recommends to classify the stages of child development as follows according to the total test score. 0-4 point: Concrete Stage, 5-7 points: Transitional Stage, and 8 and above points: Formal stage. The Creativity Test was developed by Y. Lee and W. Chung (1971). It consists of four components: fluency, flexibility, originality, and openness. Only both fluency and openness were used in this study. In order to analyze data, T-Test, Intercorrelational Analyses, ANOVA, and Nultiple Regression were used. Followings are the results deduced from the above analoyses of the data. First, 43.48% of the subjects were on Concrete Stage, 36.78% were on the Transitional Stage, and 19.86% were on the Formal Stage in the developmental level classified by Piaget. Second, the students who have participated in GEIK programs more than one year acquired significantly higher score in GALT than the students who have participated in GEIK programs less than one year. Third, boys showed higher score in GALT than girls did. Fourth, there were statistically significant intercorrelations between six subscales of GALT. Fifth, the students who have participated in GEIK programs more than one year acquired significantly higher score in openness of creativity test than the students who have participated in GEIK programs less than one year. There were no significant differences in openness of creativity test between boys and girls. Sixth, the students who have participated in GEIK programs more than one year acquired significantly higher score in fluency of creativity test than the students who have participated in GEIK programs less than one year. Girls showed higher score in fluency of creativity test than boys did. Seventh, the students who acquired higher score in GALT showed higher score in both openness and fluency of creativity test. Followings are the conclusions deduced form the above results. First, the developmental level of reasoning skills of the fourth grade students participationg in GEIK programs is the same as that of 7th grade of normal Korean students and the same as those of 10th grade of U.S.A. and Philipoine students. Second, the GEIK programs are effective in improving reasoning skills. Third, the GEIK programs are effective in improving creativity. Fouth, reasoning skills and creativity can be improved by well planned programs. In conclusion, this study suggests that beyond reasoning skills and creativity, other areas such as areas in science skills, mathmatical skills, or verbal skills, etc., should be studied in the future.

• International Journal of Advanced Culture Technology
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• 제7권1호
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• pp.8-13
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• 2019

Despite technical advances in healthcare, the rates of hospital-acquired pressure injury (HAPI) are still high although many are potentially preventable. The purpose of this study was to determine whether tree-based prediction modeling is suitable for assessing the risk of HAPI in ICU patients. Retrospective cohort study has been carried out. A decision tree model was constructed with Age, Weight, eTube, diabetes, Braden score, Isolation, and Number of comorbid conditions as decision nodes. We used RStudio for model training and testing. Correct prediction rate of the final prediction model was 92.4 and the Area Under the ROC curve (AUC) was 0.699, which means there is about 70% chance that the model is able to distinguish between HAPI and non-HAPI. The results of this study has limited generalizability as the data were from a single academic institution. Our research finding shows that the data-driven tree-based prediction modeling may potentially support ICU sensitive risk assessment for HAPI prevention.

• 한국임상약학회지
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• 제21권2호
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• pp.170-181
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• 2011

Purpose: There is considerable variability in rates of hospitalization for patients with community-acquired pneumonia (CAP) in part because of physicians' uncertainty in assessing the severity of illness at presentation. The purpose of the study was to examine the current treatment patterns and factors influencing the Pneumonia Severity Index (PSI) and clinical outcomes in the patient with CAP. Method: The retrospective data collection of the patients with CAP was conducted and the data were reviewed. The collected data included demographic, clinical, laboratory and microbiological medical information. All patients were stratified into three risk groups according to PSI: low risk (PSI score I-II), moderate risk (III) and high risk (IV-V) groups. The examined treatment patterns were the appropriateness of admissions, category of antibiotics used. The prognostic factors associated with PSI and clinical outcomes were examined. Results: One hundred and six patients' medical data were reviewed. The overall appropriateness of admissions was low presenting many of patients were admitted or intensely treated in the hospital despite of lower risk of prognosis and treated with intravenous antibiotics instead of oral fluoroquinolones. Primary pneumonia pathogens were Klebsiella pneumoniae (27%) and Streptococcus pneumoniae (21.6%). Mean LOS was 8.5 days and was significantly longer (10.0days) (p<0.001) in high risk group. The patients with age >65 (p<0.001), diabetes mellitus (p<0.001), mental alteration (p<0.001), and/or $PaO_2$ <60 mmHg (p<0.001) had a tendency to have higher PSI. The prognostic factors associated with longer LOS were age >65 years (p=0.008), mental status alteration (p<0.001), dyspnea (p=0.002) and PSI score (p=0.001). The prognostic factors associated with mortality were congestive heart failure (p=0.038), systolic blood pressure <90 mmHg (p=0.002) and arterial pH <7.35 (p=0.013). Conclusion: Most of patients were found to over-utilize medical service according to appropriateness of admissions. The elderly, mentally altered patients with low $PaO_2$ had higher PSI score with increased risk of LOS. The mortality could be increased in the patient with disease state of congestive heart failure, high blood pressure, and/or acidosis.

• Journal of Information Processing Systems
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• 제18권2호
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• pp.282-291
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• 2022

This research applies a pre-trained bidirectional encoder representations from transformers (BERT) handwriting recognition model to predict foreign Korean-language learners' writing scores. A corpus of 586 answers to midterm and final exams written by foreign learners at the Intermediate 1 level was acquired and used for pre-training, resulting in consistent performance, even with small datasets. The test data were pre-processed and fine-tuned, and the results were calculated in the form of a score prediction. The difference between the prediction and actual score was then calculated. An accuracy of 95.8% was demonstrated, indicating that the prediction results were strong overall; hence, the tool is suitable for the automatic scoring of Korean written test answers, including grammatical errors, written by foreigners. These results are particularly meaningful in that the data included written language text produced by foreign learners, not native speakers.

• 대한한의학원전학회지
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• 제36권2호
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• pp.23-34
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• 2023

Objectives : We propose a method to disassemble Traditional East Asian Medicine herbal formulas using machine learning. Methods : After creating a model using Byte Pair Encoding(BPE) and G-Score, the model was trained with training data. Afterwards, the learned model was applied to the test data, of which the results were compared with expert opinion. Results : The results acquired through the model were not significantly different from those of modern expert opinions. However, there were cases where the meaning was partially unclear, while there were cases where new knowledge could be obtained through the disassembling process. Conclusions : It is expected that disassembling herbal formulas through the proposed method in this study will help save resources required to understand complex ones.

• Tuberculosis and Respiratory Diseases
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• 제81권3호
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• pp.175-186
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• 2018

Pneumonia is an important cause of morbidity and mortality. Since 2014, the Health Insurance Review and Assessment Service (HIRA) has assessed the overall quality of care among hospitalized adult patients with community-acquired pneumonia (CAP) provided by all medical institutions in Korea. A committee of the Korea Academy of Tuberculosis and Respiratory Diseases developed the hospital inpatient quality measures set for CAP consisting of eight core measures and five monitoring measures. The composite measure score was calculated. The medical records of hospitalized adult patients ages 18 years or more with CAP from October to December 2014 were evaluated. The data of 523 hospitals (42 tertiary hospitals [8.0%], 256 general hospitals [49%], and 225 hospitals [43.0%]) and 15,432 cases (tertiary hospitals, 1,673 cases [10.8%]; general hospitals, 8,803 cases [57.1%]; hospitals, 4,956 cases [32.1%]) were analyzed. We found large variations among institutions in terms of performance of care measures for CAP. For the composite measure score, the mean value was 66.7 (tertiary hospitals, 98.5; general hospitals, 79.2; hospitals, 43.8). Despite significant differences in measure scores between tertiary, general hospitals and hospitals, no significant differences were found in mortality between hospitals. Further studies are needed to determine the care measures appropriate for CAP.

• 약학회지
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• 제48권1호
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• pp.6-12
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• 2004

Near-infrared spectra of methanol-water mixtures and acetonitrile-water mixtures were acquired to find interactions between solvents widely used for reverse-phase liquid chromatography. Mixtures were prepared to give a series of increasing mole fractions of methanol or acetonitrile in water. Data matrices of acquired spectra were analyzed to determine the proper number of principal components of each mixture system using Malinowski's factor indicator function. Initial guess of score matrix and loading matrix were calculated by nonlinear iterative partial least squares (NIPALS) algorithm for faster computation. Iterative target transform factor analysis (ITTFA) was applied to convert the initial estimation of score matrix to true concentration profile and loading matrix to pure spectra of pure components of the mixtures. In case of methanol-water the number of principal components was found to be 4 and those initial guess of factors were converted to the pure spectra of water methanol and two kinds of complexes. In case of acetonitrile-water the number of pure components of the mixtures was found to be 3 and the pure spectrum of acetonitrile-water complex was found. The nonlinear characteristics of concentration profiles of complexes in the solvent mixtures may give a good criteria in understanding their elution characteristics in reverse-phase liquid chromatogrsphy.

• 한국컴퓨터정보학회논문지
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• 제27권5호
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• pp.55-67
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• 2022

센서 데이터를 활용하여 설비의 이상 진단이 가능해졌다. 하지만 설비 이상에 대한 원인 분석은 미비한 실정이다. 본 연구에서는 센서 기반 시계열 데이터 분류 모델을 위한 해석가능한 합성곱 신경망 프레임워크를 제안한다. 연구에서 사용된 센서 기반 시계열 데이터는 실제 차량에 부착된 센서를 통해 수집되었고, 반도체의 웨이퍼 데이터는 공정 과정에서 수집되었다. 추가로 실제 기계 설비에서 수집된 주기 신호 데이터를 이용 하였으며, 충분한 학습을 위해 Data augmentation 방법론인 Scaling과 Jittering을 적용하였다. 또한, 본 연구에서는 3가지 합성곱 신경망 기반 모델들을 제안하고 각각의 성능을 비교하였다. 본 연구에서는 ResNet에 Jittering을 적용한 결과 정확도 95%, F1 점수 95%로 가장 뛰어난 성능을 보였으며, 기존 연구 대비 3%의 성능 향상을 보였다. 더 나아가 결과의 해석을 위한 XAI 방법론으로 Class Activation Map과 Layer Visualization을 제안하였으며, 센서 데이터 분류에 중요 영향을 끼치는 시계열 구간을 시각적으로 확인하였다.

• Tuberculosis and Respiratory Diseases
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• 제70권3호
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• pp.224-234
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• 2011

Background: Little data is available regarding hospitalized patients with nursing home-acquired pneumonia (NHAP). This is unfortunate because there is an increasing number of elderly persons who are living in nursing homes in Korea. The aim of this study was to compare clinical characteristics and treatment responses of NHAP with community-acquired pneumonia (CAP). Methods: Patients with pneumonia who were admitted from eight nursing homes or from their own homes were enrolled between May 2007 and April 2009. Their clinical characteristics and treatment responses were reviewed retrospectively, and differences between the two groups were analyzed. Results: Of 110 Patients with pneumonia, 66 (60%) were from nursing homes and their median age was 84. In the NHAP group, functional performance status was significantly poorer, classical symptoms of pneumonia were less severe, and multi-lobe involvement (on chest radiographs) was more frequent than in the CAP group. Patients with NHAP more frequently showed lymphocytopenia, anemia, hypoalbuminemia, hypoxemia, and elevated blood urea nitrogen on admission. The mean CURB-65 score was 2.2 in the NHAP group, higher than 1.7 in the CAP group (p=0.004), and multi-drug resistant pathogens were also highly identified in NHAP group (39% vs. 10%, p=0.036). The mean duration of antibiotic therapy was greater for the NHAP (12.6 days) than for the CAP group (6.6 days) (p<0.001). The mortality rate was 23% in NHAP group, which was significantly higher than 5% in the CAP group (p=0.014). Conclusion: NHAP should be more intensively investigated because of the higher frequency of multi-drug resistant pathogens and mortality than the CAP.

• 간호행정학회지
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• 제8권3호
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• pp.489-500
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• 2002

Purpose : The objective of this research is to explore the correlation between personality and degree of job-satisfaction among nursing profession in order to provide effective guide for HR management and nursing care. Method : The research has been conducted on hundred sixty four nurses working in C university hospital in Seoul, from February 23 to March 7 of 2002, through survey. For the experimental tools, I have used Young-Hwan Kim's MMPI(1988) personality test and Slavitt's job-satisfaction test(1978) which were improved by Eun-Seuk Lee(1988). The acquired data are analyzed through SPSS program using descriptive statistical method, t-test, One way ANOVA and Pearson Correlation coefficient analysis. Results : Most survey score were within normal range of personality measurement and Masculinity-Femininity scored high compare with the rest. Overall job-satisfaction score showed fairly high level of 3.01; in the order of high score, 3.43 for reciprocal action, 3.41 for job requirement, 3.20 for autonomy, 3.15 for professional status, 2.96 for doctor-nurse relationship, 2.54 for administration and 2.38 for compensation. Analysis based of social demographics showed that the degree of paranoia depends on the age, marriage, nursing experience, education, professional status and salary. Also, marriage had significant influence on the score of hysteria, psychopathic deviation, paranoia, psychasthenia, schizophrenia and masculinity-femininity. Test score showed that, based on the general characteristic of nursing profession, job-satisfaction depends on the age and professional status. The relationship between personality and job-satisfaction showed that depression score and social introversion score have statistically significant negative correlation with job-satisfaction. Conclusion : this research revealed that depression and social introversion are characteristics identified to have significant influence over job-satisfaction of nurses, among many characteristics.