• Tuberculosis and Respiratory Diseases
• /
• v.57 no.2
• /
• pp.168-179
• /
• 2004

Background : The statistical analysis is an essential procedure ensuring that the results of researches are based on evidences rather than opinion. The purpose of this study is to evaluate which statistical techniques are used and whether these statistical methods are used appropriately or not in the journal of Tuberculosis and Respiratory Diseases. Materials and Methods : We reviewed 185 articles reported in the journal of Tuberculosis and Respiratory Diseases in 1999. We evaluated the validity of used statistical methods based upon the checklist that was developed on the basis of the guideline for statistical reporting in articles for medical journals by International Committee of Medical Journal Editors. Results : Among 185 articles, original articles and case reports were 110 (59.5%) and 61 (33.0%) respectively. In 112 articles excluding case reports and reviews, statistical techniques were used in 107 articles (95.5%). In 94 articles (83.9%) descriptive and inferential methods were used, while in 13 (11.6%) articles only descriptive methods were used. With the types of inferential statistical techniques, comparison of means was most commonly used (64/94, 68.1%), followed by contingency table (43/94, 45.7%) and correlation or regression (18/94, 19.1%). Among the articles in which descriptive methods were used, 83.2% (89/107) showed inappropriate central tendency and dispersion. In the articles in which inferential methods were used, improper methods were applied in 88.8% (79/89) and the most frequent misuse of statistical methods was inappropriate use of parametric methods (35/89, 39.3%). Only 14 articles (13.1%) were satisfactory in utilization of statistical methodology. Conclusion : Most of the statistical errors found in the journal were misuses of statistical methods related to basic statistics. This study suggests that researchers should be more careful when they describe and apply statistical methods and more extensive statistical refereeing system would be needed.

• Journal of Digital Convergence
• /
• v.12 no.8
• /
• pp.257-264
• /
• 2014

This paper presents the core competencies diagnosis system which targeted our collegiate students in an attempt to induce the core competencies for reinforcing the learning and employment capabilities. Because these days data give rise to a high level of redundancy and dimensionality with time complexity, they are more likely to have spurious relationships, and even the weakest relationships will be highly significant by any statistical test. So as to address the measurement of uncertainties from the classification of categorical data and the implementation of its analytic system, an uncertainty measure of rough entropy and information entropy is defined so that similar behaviors analysis is carried out and the clustering ability is demonstrated in the comparison with the statistical approach. Because the acquired and necessary competencies of the collegiate is deduced by way of the results of the diagnosis, i.e. common core competencies and major core competencies, they facilitate not only the collegiate life and the employment capability reinforcement but also the revitalization of employment and the adjustment to college life.

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.37 no.11
• /
• pp.1053-1060
• /
• 2013

The purpose of this study is to estimate the packing friction of power-operated valve in nuclear power plants. The roll of packing in valve is preventing leakage through stem. Packing friction is highly depend on gland nut tightness which means higher reliability in sealing is lower operability. For the estimation of friction, we used statistical analysis and experimental analysis. In experimental approach, we have performed packing fY test and applied it to valve field test. In statistical approach, we have used 10 years DB of safety-related valve in nuclear power plant and analyzed packing friction based on confidence interval of sample. The comparison of two results shows that statistical analysis for packing friction are more accurate than fY analysis even though both approach have error compared to measured value but we confirmed that statistical approach is proper way to estimate packing friction.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06c
• /
• pp.180-183
• /
• 2011

본 논문에서는 진단 검사 의학 분야에서 통계적 지식이나 도구사용능력이 부족한 임상의학자들을 위해 개발된 통계적 데이터 분석 시스템을 소개한다. 개발된 시스템은 질병진단에 필요한 다중 바이오마커 데이터를 Luminex장비를 통하여 측정한 후, 분석이 용이한 형태로 변환하는 시각화 기술과 데이터에 내재된 패턴을 찾아내어 유용한 지식을 생성하는 데이터 마이닝 기술을 포함한다. 주요 모듈로는 마커선택, 데이터 시각화, 마커 평가 모듈로 구성되며 MATLAB을 기반으로 개발되었다.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.18 no.6
• /
• pp.105-113
• /
• 2014

Most operating civil structures measure response data continuously by various types of sensors and evaluate their health conditions. Measurement control criteria for such civil structures are usually defined in the first operating stage by experts working at a construction or engineering company. However, a few studies have been carried to examine the adequacy of these measurement control criteria based on the actual measured data. The paper introduces a systematic way of resetting the measurement control criteria for the measured monitoring data based on the statistical aspects of the measured data. The proposed statistical approach has been examined with actually measured time-history data from a bridge structure.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.11 no.5
• /
• pp.171-180
• /
• 2007

The quality of ready-mixed concrete(henceforth abbreviated remicon) is influenced by various factors such as ingredient of material, difference of property, mixing ratio, mixing time, mixing error, conditioning of construction, method of curing and temperature, humidity time in transportation. These factors make it hard to confirm the quality of remicon till placing in site. As the quality control in field is very important to ensure the quality of building. Moreover in modern building production, the more important the inquiry of performance improvement, the more important the manufacture and the quality control of remicon. In this study, to examine and analyze the quality of remicon we used slump, air content and compressive strength in 7, 28 days as to remicon which placed during on year. As a result, we found that the slump and air content were satisfied with reference code and the compressive strength was more than the design standard strength so we concluded that the quality control of remicon was to be agreeable.

• Journal of the Korean Society of Radiology
• /
• v.7 no.1
• /
• pp.9-15
• /
• 2013

In this study, texture feature analysis (TFA) algorithm to automatic recognition of liver disease suggests by utilizing computed tomography (CT), by applying the algorithm computer-aided diagnosis (CAD) of hepatocellular carcinoma (HCC) design. Proposed the performance of each algorithm was to comparison and evaluation. In the HCC image, set up region of analysis (ROA, window size was $40{\times}40$ pixels) and by calculating the figures for TFA algorithm of the six parameters (average gray level, average contrast, measure of smoothness, skewness, measure of uniformity, entropy) HCC recognition rate were calculated. As a result, TFA was found to be significant as a measure of HCC recognition rate. Measure of uniformity was the most recognition. Average contrast, measure of smoothness, and skewness were relatively high, and average gray level, entropy showed a relatively low recognition rate of the parameters. In this regard, showed high recognition algorithms (a maximum of 97.14%, a minimum of 82.86%) use the determining HCC imaging lesions and assist early diagnosis of clinic. If this use to therapy, the diagnostic efficiency of clinical early diagnosis better than before. Later, after add the effective and quantitative analysis, criteria research for generalized of disease recognition is needed to be considered.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.4
• /
• pp.895-906
• /
• 2015

Nowadays, many people have much interest in health and quality of life. They can get information on foods known to have remedial value for certain illness from many healthcare experts on TV health related shows. Moreover, a lot of studies on these foods and their remedial value are consistently published. Thus, this study, on the ground that if we know prognosis of a certain disease in advance we can lead a better life without suffering from diseases, statistically analyzes specific students' responses to sub-health questionnaire. The analysis reveals that results of testing the equality of gender and 10 diagnosis indexes shows significant difference within 5% of significance level in 9 diagnosis indexes except for respiratory system. And the result of testing the equality of age and 10 diagnosis indexes indicates that there is no significant difference within 5% of significance level. In the study, students are divided into two age category. However, the age of 20s could be regarded as one category, which could be the reason why there is no significant difference.

• The Journal of the Korea Contents Association
• /
• v.11 no.6
• /
• pp.252-259
• /
• 2011

This study was to find out the correlation between abdominal surface temperature and abdominal fat areas. CT and MRI methods have been used to assess abdominal fat area. Abdominal surface temperature according to abdominal fat area was also measured by DITI. 20 college students were selected as the subjects for the study. The results, showed that there were statistically different significance in abdominal fats measured by CT and MRI according to weight groups. Abdominal surface temperature gap were measured by DITI and there was a statistically significant difference in only T12 region. temperature gaps between weight groups were over $0.7^{\circ}C$. In conclusion, CT method is the most accurate method to measure abdominal fat. However, weak points are radiation exposure and high cost for study. The correlation between abdominal surface temperature and abdominal fat areas were strong. Therefore, DITI may be considered as useful convenient method to evaluate the abdominal obesity and clinical usefulness.

• The Journal of Society for e-Business Studies
• /
• v.22 no.4
• /
• pp.53-69
• /
• 2017

This study focuses on analyzing no-shows associated with patients' clinical characteristics described by diagnoses in their medical data. A dataset of 7,055 patient-records from a Veterans hospital in the United States was used to test if there is difference on no-shows along with each patient's diagnosed diseases and the number of diagnoses. Patients with mental diseases such as drug dependence abuse and major depression, and chronic diseases such as hypertension are more likely to no-show. In comparisons with the number of diagnoses, the no-show decreases as the number of diagnoses increases up to four and doesn't change significantly afterwards. We provide managerial insights on clinical operations problems from statistical analysis. We believe that our results can be used to develop appropriate solutions on no-shows in clinics.